Čia pateikiama KTU profesoriaus Vitalijaus Volkovo paruošta monografija
'''Diagnostics and Monitoring of Technical Systems:'''
''Methods and Application''
Kaunas, 2021

Visą knygą atskirais skyriais pagal toliau pateiktą turinį galima atsisiųsti '''[https://ktuedu-my.sharepoint.com/:f:/g/personal/eimkarc_ktu_lt/Ev6sqUjOn5pKvByuf-ZPWssBsEGK8smv98nJADqAzs5qLg?e=owKeju čia]'''

Autorius dirbo KTU Mechanikos fakulteto Mechanikos inžinerijos '''[https://midf.ktu.edu/mechanikos-inzinerijos-katedra/ katedroje]'''

Visuotinė lietuvių enciklopedija apie '''[https://www.vle.lt/straipsnis/vitalijus-volkovas/ autorių]'''

KTU bibliotekoje yra šios Vitalijaus Volkovo paruoštos '''[https://biblioteka.ktu.edu/galleries/volkovas/ knygos]'''

Informacija anglų kalba yra čia '''[[Diagnostics]]'''

***********************
TABLE OF CONTENTS. 
FOREWORD. 
INTRODUCTION.[https://ktuedu-my.sharepoint.com/:b:/g/personal/eimkarc_ktu_lt/Eco9LSrQe4tDrKE8d-l0RBYB3s6dYDR3uAkVK_q3Pz--7w?e=4gGqN3] 
'''1. PROBLEMS OF RELEVANCE. '''
1.1. Energy and concentration of power, failures and mistakes – reasons of the potential accidents. 
1.2. Industrial facilities and product safety, quality requirements. 
1.3. The methodology of evaluation of system’s technical state. 
1.4. System monitoring and diagnostics symbiosis. 
REFERENCES 1. 
'''2. MODELS OF DAMAGED MECHANICAL SYSTEMS. '''
2.1. Technological system decomposition into elements and analysis of defective states. 
2.2. Models of technical system structural elements. 
2.2.1. Linear dynamics challenges. 
2.2.2. Nonlinear dynamics challenges. 
2.3. Model of damaged structure’s parameters changing. 
REFERENCES 2. 
'''3. DYNAMICS AND STATE IDENTIFICATION OF HETEROGENEOUS SYSTEMS. '''
3.1. Systems with lumped parameters. 
3.2 Systems with distributed parameters. 
3.2.1. The transfer function identification. 
3.2.2. Dynamics of oblong constructive element and defect identification. 
3.2.3. Defect identification in the axis - symmetrical constructive elements. 
3.2.3.1. FEM analysis and state parameters identification. 
3.2.3.2. Reaction of the mechanical system to impact load and state determination. 
3.2.4. Dynamics and identification of flexible constructive elements. 
3.2.4.1. Model of transverse oscillations of a defective belt free span between pulleys. 
3.2.4.2. FEM analysis of the defective belt interaction with the pulley. 
3.2.4.3. A method of belt drives malfunction diagnosis. 
3.2.4.4. Procedure of measuring. 
3.3. Damaged system’s quazi-harmonic process model. 
REFERENCES 3. 
'''4. THEORY OF MODERN DIAGNOSTIC METHODS AND MEANS. '''
4.1. Controlled dynamic elements in structure’s diagnostics. 
4.1.1. The qualitative estimation of defectness of the beam type structures. 
4.1.2. Experimental investigation of the technical state change and defect localization in beam type structures. 
4.1.3. The diagnostic methods, based on the dynamics of structure with additional mass. 
4.2. Inspection using mechanical energy converting elements. 
4.2.1. The mechanical energy conversion into electricity model. 
4.2.2. Practical aspect of application and new devices. 
4.3. Some aspects of vibration and impact analysis in systems diagnostics. 
4.3.1. Evaluation of quality of heterogeneous mechanical systems using impedance method. 
4.3.2. Vibro shock signals in rotating system 
4.3.3. Simulation of vibro shock signals in rotating system. 
4.4. Multi-layer cylindrical structures diagnostics based on Lamb’s wave’s interference. 
4.4.1. Waves propagating within the cylindrical structure and interference phenomenon. 
4.4.2. A technique of signal processing for interferometric estimation of the amount of deposit in pipes 
4.5. Acoustic emission (AE): research and new aspects. 
4.5.1. AE method in the rotating machine elements. 
4.5.2. AE testing of pressurized vessels and cylinders. 
REFERENCES 4. 
'''5. DEVELOPMENT AND APPLICATION OF MONITORING AND DIAGNOSTICS. '''
5.1. Permanent vibration monitoring and diagnostics of unique machines (UM). 
5.1.1. Vibration monitoring and diagnostic systems of turboagregate. 
5.1.2. Monitoring the technical condition of hydroelectric power plants. 
5.1.3. Vibroacoustic diagnostics of rolling bearings using stationary system. 
5.2. Periodic vibration diagnostics of rotor systems with portable devices. 
5.3. Adaptable vibration monitoring in rotor systems. 
5.3.1. Concept and principles of adaptive monitoring. 
5.3.2. Realization of adaptive bearing defect detection. 
5.3.3. Adaptive monitoring algorithm. 
5.4. Vibrodiagnostics problem in small hydroelectric power plants (SHPP). 
5.5. The concept of buildings stability monitoring and damage diagnostics. 
5.5.1. Concept of building’s stability. 
5.5.2. Models of building and defects. 
5.5.3. Building’s stability monitoring system (BSMS). 
5.5.4. Results of laboratory experiment and practices. 
5.5.4.1. Analysis of frequencies of FE models and MA experiments. 
5.5.4.2. STFT method for floor damage diagnostics. 
5.5.4.3. Application of CWT to defect detection. 
5.5.4.4. ANN application to defect detection. 
5.5.4.5. Practical use of building monitoring concept. 
5.6. Development of new measurement elements for vibration monitoring systems. 
5.6.1. Low frequency vibration measurement device: creation and investigation. 
5.6.2. Air gap measuring system for purpose of diagnostics and condition monitoring. 
REFERENCES 5. 
'''6. UNCERTAINTY IN MONITORING AND DIAGNOSTIC SYSTEMS. '''
6.1 Uncertainty in vibration monitoring systems of rotating machinery . 
6.2. Uncertainty sources in vibration monitoring and diagnostic systems. 
6.2.1. Calculating measurement uncertainty in vibromonitoring systems. 
6.2.2. Increase of mean and variance estimates reliability for limited data size. 
6.2.2.1. Theory of the method. 
6.2.2.2. The results of statistical simulation. 
6.2.2.3. Practical application of the method. 
6.2.3. The measurement uncertainty with random or systematic errors. 
6.2.3.1. Rotating machinery as a measurement object. 
6.2.3.2. Vibromonitoring system as a measurement medium. 
6.2.3.3. Analysis of experimental data. 
6.2.4. Uncertainty of decision making. 
6.3. Investigation of vibration monitoring uncertainty including transient modes of rotating systems. 
REFERENCIES 6. 
CONCLUSSION.

2023-03-16T07:35:51Z

Ekartus:

Vitalijus Volkovas
'''Diagnostics and Monitoring of Technical Systems:'''
''Methods and Application''
Kaunas, 2020

Visą knygą galima atsisiųsti '''[https://ktuedu-my.sharepoint.com/:f:/g/personal/eimkarc_ktu_lt/Ev6sqUjOn5pKvByuf-ZPWssBsEGK8smv98nJADqAzs5qLg?e=owKeju čia]'''

TABLE OF CONTENTS 
INTRODUCTION 
'''1. PROBLEMS OF RELEVANCE. '''
1.1. Energy and concentration of power, failures and mistakes – reasons of the potential accidents. 
1.2. Industrial facilities and product safety, quality requirements. 
1.3. The methodology of evaluation of system’s technical state. 
1.4. System monitoring and diagnostics symbiosis. 
REFERENCES 
'''2. MODELS OF DAMAGED MECHANICAL SYSTEMS. '''
2.1. Technological system decomposition into elements and analysis of defective states 
2.2. Models of technical system structural elements. 
2.2.1. Linear dynamics challenges 
2.2.2. Nonlinear dynamics challenges 
2.3. Model of damaged structure’s parameters changing. 
REFERENCES 
'''3. DYNAMICS AND STATE IDENTIFICATION OF HETEROGENEOUS SYSTEMS '''
3.1. Systems with lumped parameters . 
3.2 Systems with distributed parameters. 
3.2.1. The transfer function dentification 
3.2.2. Dynamics of oblong constructive element and defect identification 
3.2.3. Defect identification in the axis - symmetrical constructive elements. 
3.2.3.1. FEM analysis and state parameters identification. 
3.2.3.2. Reaction of the mechanical system to impact load and state determination. 
3.2.4. Dynamics and identification of flexible constructive elements. 
3.2.4.1. Model of transverse oscillations of a defective belt free span between pulleys 
3.2.4.2. FEM analysis of the defective belt interaction with the pulley 
3.2.4.3. A method of belt drives malfunction diagnosis. 
3.2.4.4. Procedure of measuring 
3.3. Damaged system’s quazi-harmonic process model 
REFERENCES 
'''4. THEORY OF MODERN DIAGNOSTIC METHODS AND MEANS '''
4.1. Controlled dynamic elements in structure’s diagnostics 
4.1.1. The qualitative estimation of defectness of the beam type structures. 
4.1.2. Experimental investigation of the technical state change and defect localization in beam type structures 
4.1.3. The diagnostic methods, based on the dynamics of structure with additional mass. 
4.2. Inspection using mechanical energy converting elements 
4.2.1. The mechanical energy conversion into electricity model 
4.2.2. Practical aspect of application and new devices 
4.3. Some aspects of vibration and impact analysis in systems diagnostics 
4.3.1. Evaluation of quality of heterogeneous mechanical systems using impedance method. 
4.4.2. Vibro shock signals in rotating system 
4.4.3. Simulation of vibro shock signals in rotating system. 
4.4. Multi-layer cylindrical structures diagnostics based on Lamb’s wave’s interference. 
4.4.1. Waves propagating within the cylindrical structure and interference phenomenon 
4.4.2. A technique of signal processing for interferometric estimation of the amount of deposit in pipes 
4.5. Acoustic emission (AE): research and new aspects. 
4.5.1. AE method in the rotating machine elements 
4.5.2. AE testing of pressurized vessels and cylinders 
REFERENCES 
'''5. DEVELOPMENT AND APPLICATION OF MONITORING AND DIAGNOSTICS '''
5.1. Permanent vibration monitoring and diagnostics of unique machines (UM) 
5.1.1. Vibration monitoring and diagnostic systems of turboagregate 
5.1.2. Monitoring the technical condition of hydroelectric power plants 
5.1.3. Vibroacoustic diagnostics of rolling bearings using stationary system 
5.2. Periodic vibration diagnostics of rotor systems with portable devices . 
5.3. Adaptable vibration monitoring in rotor systems 
5.3.1. Concept and principles of adaptive monitoring. 
5.3.2. Realization of adaptive bearing defect detection 
5.3.3. Adaptive monitoring algorithm 
5.5. Vibrodiagnostics problem in small hydroelectric power plants (SHPP) 
5.5. The concept of buildings stability monitoring and damage diagnostics 
5.5.1. Concept of building’s stability. 
5.5.2. Models of building and defects. 
5.5.3. Building’s stability monitoring system (BSMS) 
5.5.4. Results of laboratory experiment. 
5.6. Development of new measurement elements for vibration monitoring systems. 
5.6.1. Low frequency vibration measurement device: creation and investigation 
5.6.2. Air gap measuring system for purpose of diagnostics and condition monitoring. 
REFERENCES 
'''6. UNCERTAINTY IN MONITORING AND DIAGNOSTIC SYSTEMS. '''
6.1 Uncertainty in vibration monitoring systems of rotating machinery . 
6.2. Uncertainty sources in vibration monitoring and diagnostic systems 
6.2.1. Calculating measurement uncertainty in vibromonitoring systems 
6.2.2. Increase of mean and variance estimates reliability for limited data size. 
6.2.2.1. Theory of the method 
6.2.2.2. The results of statistical simulation 
6.2.2.3. Practical application of the method 
6.2.3. The measurement uncertainty with random or systematic errors 
6.2.3.1. Rotating machinery as a measurement object 
6.2.3.2. Vibromonitoring system as a measurement medium. 
6.2.3.3. Analysis of experimental data 
6.2.4. Uncertainty of decision making. 
6.3. Investigation of vibration monitoring uncertainty including transient modes of rotating systems 
REFERENCIES

2022-09-15T10:40:44Z

Ekartus:

Diagnostika

2022-09-15T10:40:30Z

Ekartus:

'Vitalijus Volkovas'
'''Diagnostics and Monitoring of Technical Systems:'''
''Methods and Application''
Kaunas, 2020
TABLE OF CONTENTS 
INTRODUCTION 
'''1. PROBLEMS OF RELEVANCE. '''
1.1. Energy and concentration of power, failures and mistakes – reasons of the potential accidents. 
1.2. Industrial facilities and product safety, quality requirements. 
1.3. The methodology of evaluation of system’s technical state. 
1.4. System monitoring and diagnostics symbiosis. 
REFERENCES 
'''2. MODELS OF DAMAGED MECHANICAL SYSTEMS. '''
2.1. Technological system decomposition into elements and analysis of defective states 
2.2. Models of technical system structural elements. 
2.2.1. Linear dynamics challenges 
2.2.2. Nonlinear dynamics challenges 
2.3. Model of damaged structure’s parameters changing. 
REFERENCES 
'''3. DYNAMICS AND STATE IDENTIFICATION OF HETEROGENEOUS SYSTEMS '''
3.1. Systems with lumped parameters . 
3.2 Systems with distributed parameters. 
3.2.1. The transfer function dentification 
3.2.2. Dynamics of oblong constructive element and defect identification 
3.2.3. Defect identification in the axis - symmetrical constructive elements. 
3.2.3.1. FEM analysis and state parameters identification. 
3.2.3.2. Reaction of the mechanical system to impact load and state determination. 
3.2.4. Dynamics and identification of flexible constructive elements. 
3.2.4.1. Model of transverse oscillations of a defective belt free span between pulleys 
3.2.4.2. FEM analysis of the defective belt interaction with the pulley 
3.2.4.3. A method of belt drives malfunction diagnosis. 
3.2.4.4. Procedure of measuring 
3.3. Damaged system’s quazi-harmonic process model 
REFERENCES 
'''4. THEORY OF MODERN DIAGNOSTIC METHODS AND MEANS '''
4.1. Controlled dynamic elements in structure’s diagnostics 
4.1.1. The qualitative estimation of defectness of the beam type structures. 
4.1.2. Experimental investigation of the technical state change and defect localization in beam type structures 
4.1.3. The diagnostic methods, based on the dynamics of structure with additional mass. 
4.2. Inspection using mechanical energy converting elements 
4.2.1. The mechanical energy conversion into electricity model 
4.2.2. Practical aspect of application and new devices 
4.3. Some aspects of vibration and impact analysis in systems diagnostics 
4.3.1. Evaluation of quality of heterogeneous mechanical systems using impedance method. 
4.4.2. Vibro shock signals in rotating system 
4.4.3. Simulation of vibro shock signals in rotating system. 
4.4. Multi-layer cylindrical structures diagnostics based on Lamb’s wave’s interference. 
4.4.1. Waves propagating within the cylindrical structure and interference phenomenon 
4.4.2. A technique of signal processing for interferometric estimation of the amount of deposit in pipes 
4.5. Acoustic emission (AE): research and new aspects. 
4.5.1. AE method in the rotating machine elements 
4.5.2. AE testing of pressurized vessels and cylinders 
REFERENCES 
'''5. DEVELOPMENT AND APPLICATION OF MONITORING AND DIAGNOSTICS '''
5.1. Permanent vibration monitoring and diagnostics of unique machines (UM) 
5.1.1. Vibration monitoring and diagnostic systems of turboagregate 
5.1.2. Monitoring the technical condition of hydroelectric power plants 
5.1.3. Vibroacoustic diagnostics of rolling bearings using stationary system 
5.2. Periodic vibration diagnostics of rotor systems with portable devices . 
5.3. Adaptable vibration monitoring in rotor systems 
5.3.1. Concept and principles of adaptive monitoring. 
5.3.2. Realization of adaptive bearing defect detection 
5.3.3. Adaptive monitoring algorithm 
5.5. Vibrodiagnostics problem in small hydroelectric power plants (SHPP) 
5.5. The concept of buildings stability monitoring and damage diagnostics 
5.5.1. Concept of building’s stability. 
5.5.2. Models of building and defects. 
5.5.3. Building’s stability monitoring system (BSMS) 
5.5.4. Results of laboratory experiment. 
5.6. Development of new measurement elements for vibration monitoring systems. 
5.6.1. Low frequency vibration measurement device: creation and investigation 
5.6.2. Air gap measuring system for purpose of diagnostics and condition monitoring. 
REFERENCES 
'''6. UNCERTAINTY IN MONITORING AND DIAGNOSTIC SYSTEMS. '''
6.1 Uncertainty in vibration monitoring systems of rotating machinery . 
6.2. Uncertainty sources in vibration monitoring and diagnostic systems 
6.2.1. Calculating measurement uncertainty in vibromonitoring systems 
6.2.2. Increase of mean and variance estimates reliability for limited data size. 
6.2.2.1. Theory of the method 
6.2.2.2. The results of statistical simulation 
6.2.2.3. Practical application of the method 
6.2.3. The measurement uncertainty with random or systematic errors 
6.2.3.1. Rotating machinery as a measurement object 
6.2.3.2. Vibromonitoring system as a measurement medium. 
6.2.3.3. Analysis of experimental data 
6.2.4. Uncertainty of decision making. 
6.3. Investigation of vibration monitoring uncertainty including transient modes of rotating systems 
REFERENCIES

2022-09-15T10:11:15Z

Ekartus: Pašalintas nukreipimas į Informatika

Diagnostika

2022-09-15T09:54:14Z

Ekartus:

Vitalijus Volkovas 
'''Diagnostics and Monitoring of Technical Systems:''' 
Methods and Application 
Kaunas, 2020 
 
TABLE OF CONTENTS 
INTRODUCTION 
1. PROBLEMS OF RELEVANCE. 
1.1. Energy and concentration of power, failures and mistakes – reasons of the potential accidents. 
1.2. Industrial facilities and product safety, quality requirements. 
1.3. The methodology of evaluation of system’s technical state. 
1.4. System monitoring and diagnostics symbiosis. 
REFERENCES 
2. MODELS OF DAMAGED MECHANICAL SYSTEMS. 
2.1. Technological system decomposition into elements and analysis of defective states 
2.2. Models of technical system structural elements. 
2.2.1. Linear dynamics challenges 
2.2.2. Nonlinear dynamics challenges 
2.3. Model of damaged structure’s parameters changing. 
REFERENCES 
3. DYNAMICS AND STATE IDENTIFICATION OF HETEROGENEOUS SYSTEMS 
3.1. Systems with lumped parameters . 
3.2 Systems with distributed parameters. 
3.2.1. The transfer function dentification 
3.2.2. Dynamics of oblong constructive element and defect identification 
3.2.3. Defect identification in the axis - symmetrical constructive elements. 
3.2.3.1. FEM analysis and state parameters identification. 
3.2.3.2. Reaction of the mechanical system to impact load and state determination. 
3.2.4. Dynamics and identification of flexible constructive elements. 
3.2.4.1. Model of transverse oscillations of a defective belt free span between pulleys 
3.2.4.2. FEM analysis of the defective belt interaction with the pulley 
3.2.4.3. A method of belt drives malfunction diagnosis. 
3.2.4.4. Procedure of measuring 
3.3. Damaged system’s quazi-harmonic process model 
REFERENCES 
4. THEORY OF MODERN DIAGNOSTIC METHODS AND MEANS 
4.1. Controlled dynamic elements in structure’s diagnostics 
4.1.1. The qualitative estimation of defectness of the beam type structures. 
4.1.2. Experimental investigation of the technical state change and defect localization in beam type structures 
4.1.3. The diagnostic methods, based on the dynamics of structure with additional mass. 
4.2. Inspection using mechanical energy converting elements 
4.2.1. The mechanical energy conversion into electricity model 
4.2.2. Practical aspect of application and new devices 
4.3. Some aspects of vibration and impact analysis in systems diagnostics 
4.3.1. Evaluation of quality of heterogeneous mechanical systems using impedance method. 
4.4.2. Vibro shock signals in rotating system 
4.4.3. Simulation of vibro shock signals in rotating system. 
4.4. Multi-layer cylindrical structures diagnostics based on Lamb’s wave’s interference. 
4.4.1. Waves propagating within the cylindrical structure and interference phenomenon 
4.4.2. A technique of signal processing for interferometric estimation of the amount of deposit in pipes 
4.5. Acoustic emission (AE): research and new aspects. 
4.5.1. AE method in the rotating machine elements 
4.5.2. AE testing of pressurized vessels and cylinders 
REFERENCES 
5. DEVELOPMENT AND APPLICATION OF MONITORING AND DIAGNOSTICS 
5.1. Permanent vibration monitoring and diagnostics of unique machines (UM) 
5.1.1. Vibration monitoring and diagnostic systems of turboagregate 
5.1.2. Monitoring the technical condition of hydroelectric power plants 
5.1.3. Vibroacoustic diagnostics of rolling bearings using stationary system 
5.2. Periodic vibration diagnostics of rotor systems with portable devices . 
5.3. Adaptable vibration monitoring in rotor systems 
5.3.1. Concept and principles of adaptive monitoring. 
5.3.2. Realization of adaptive bearing defect detection 
5.3.3. Adaptive monitoring algorithm 
5.5. Vibrodiagnostics problem in small hydroelectric power plants (SHPP) 
5.5. The concept of buildings stability monitoring and damage diagnostics 
5.5.1. Concept of building’s stability. 
5.5.2. Models of building and defects. 
5.5.3. Building’s stability monitoring system (BSMS) 
5.5.4. Results of laboratory experiment. 
5.6. Development of new measurement elements for vibration monitoring systems. 
5.6.1. Low frequency vibration measurement device: creation and investigation 
5.6.2. Air gap measuring system for purpose of diagnostics and condition monitoring. 
REFERENCES 
6. UNCERTAINTY IN MONITORING AND DIAGNOSTIC SYSTEMS. 
6.1 Uncertainty in vibration monitoring systems of rotating machinery . 
6.2. Uncertainty sources in vibration monitoring and diagnostic systems 
6.2.1. Calculating measurement uncertainty in vibromonitoring systems 
6.2.2. Increase of mean and variance estimates reliability for limited data size. 
6.2.2.1. Theory of the method 
6.2.2.2. The results of statistical simulation 
6.2.2.3. Practical application of the method 
6.2.3. The measurement uncertainty with random or systematic errors 
6.2.3.1. Rotating machinery as a measurement object 
6.2.3.2. Vibromonitoring system as a measurement medium. 
6.2.3.3. Analysis of experimental data 
6.2.4. Uncertainty of decision making. 
6.3. Investigation of vibration monitoring uncertainty including transient modes of rotating systems 
REFERENCIES

Diagnostika

2022-09-15T09:49:59Z

Ekartus:

Vitalijus Volkovas 
Diagnostics and Monitoring of Technical Systems: 
Methods and Application 
Kaunas, 2020 
 
TABLE OF CONTENTS 
INTRODUCTION 
1. PROBLEMS OF RELEVANCE. 
1.1. Energy and concentration of power, failures and mistakes – 
reasons of the potential accidents. 
1.2. Industrial facilities and product safety, quality requirements. 
1.3. The methodology of evaluation of system’s technical state. 
1.4. System monitoring and diagnostics symbiosis. 
REFERENCES 
2. MODELS OF DAMAGED MECHANICAL SYSTEMS. 
2.1. Technological system decomposition into elements and analysis of defective states 
2.2. Models of technical system structural elements. 
2.2.1. Linear dynamics challenges 
2.2.2. Nonlinear dynamics challenges 
2.3. Model of damaged structure’s parameters changing. 
REFERENCES 
3. DYNAMICS AND STATE IDENTIFICATION OF HETEROGENEOUS 
SYSTEMS 
3.1. Systems with lumped parameters . 
3.2 Systems with distributed parameters. 
3.2.1. The transfer function dentification 
3.2.2. Dynamics of oblong constructive element and defect identification 
3.2.3. Defect identification in the axis - symmetrical constructive elements. 
3.2.3.1. FEM analysis and state parameters identification. 
3.2.3.2. Reaction of the mechanical system to impact load and state 
determination. 
3.2.4. Dynamics and identification of flexible constructive elements. 
3.2.4.1. Model of transverse oscillations of a defective belt free span 
between pulleys 
3.2.4.2. FEM analysis of the defective belt interaction with the pulley 
3.2.4.3. A method of belt drives malfunction diagnosis. 
3.2.4.4. Procedure of measuring 
3.3. Damaged system’s quazi-harmonic process model 
REFERENCES 
4. THEORY OF MODERN DIAGNOSTIC METHODS AND MEANS 
4.1. Controlled dynamic elements in structure’s diagnostics 
4.1.1. The qualitative estimation of defectness of the beam type structures. 
4.1.2. Experimental investigation of the technical state change and defect 
localization in beam type structures 
4.1.3. The diagnostic methods, based on the dynamics of structure with 
additional mass. 
4.2. Inspection using mechanical energy converting elements 
4.2.1. The mechanical energy conversion into electricity model 
4.2.2. Practical aspect of application and new devices 
4.3. Some aspects of vibration and impact analysis in systems diagnostics 
4.3.1. Evaluation of quality of heterogeneous mechanical systems 
using impedance method. 
4.4.2. Vibro shock signals in rotating system 
4.4.3. Simulation of vibro shock signals in rotating system. 
4.4. Multi-layer cylindrical structures diagnostics based on 
Lamb’s wave’s interference. 
4.4.1. Waves propagating within the cylindrical structure and interference 
phenomenon 
4.4.2. A technique of signal processing for interferometric estimation 
of the amount of deposit in pipes 
4.5. Acoustic emission (AE): research and new aspects. 
4.5.1. AE method in the rotating machine elements 
4.5.2. AE testing of pressurized vessels and cylinders 
REFERENCES 
5. DEVELOPMENT AND APPLICATION OF MONITORING AND DIAGNOSTICS 
5.1. Permanent vibration monitoring and diagnostics of unique machines (UM) 
5.1.1. Vibration monitoring and diagnostic systems of turboagregate 
5.1.2. Monitoring the technical condition of hydroelectric power plants 
5.1.3. Vibroacoustic diagnostics of rolling bearings using stationary system 
5.2. Periodic vibration diagnostics of rotor systems with portable devices . 
4 
5.3. Adaptable vibration monitoring in rotor systems 
5.3.1. Concept and principles of adaptive monitoring. 
5.3.2. Realization of adaptive bearing defect detection 
5.3.3. Adaptive monitoring algorithm 
5.5. Vibrodiagnostics problem in small hydroelectric power plants (SHPP) 
5.5. The concept of buildings stability monitoring and damage diagnostics 
5.5.1. Concept of building’s stability. 
5.5.2. Models of building and defects. 
5.5.3. Building’s stability monitoring system (BSMS) 
5.5.4. Results of laboratory experiment. 
5.6. Development of new measurement elements for vibration monitoring systems. 
5.6.1. Low frequency vibration measurement device: creation and investigation 
5.6.2. Air gap measuring system for purpose of diagnostics and condition monitoring. 
REFERENCES 
6. UNCERTAINTY IN MONITORING AND DIAGNOSTIC SYSTEMS. 
6.1 Uncertainty in vibration monitoring systems of rotating machinery . 
6.2. Uncertainty sources in vibration monitoring and diagnostic systems 
6.2.1. Calculating measurement uncertainty in vibromonitoring systems 
6.2.2. Increase of mean and variance estimates reliability for limited data size. 
6.2.2.1. Theory of the method 
6.2.2.2. The results of statistical simulation 
6.2.2.3. Practical application of the method 
6.2.3. The measurement uncertainty with random or systematic errors 
6.2.3.1. Rotating machinery as a measurement object 
6.2.3.2. Vibromonitoring system as a measurement medium. 
6.2.3.3. Analysis of experimental data 
6.2.4. Uncertainty of decision making. 
6.3. Investigation of vibration monitoring uncertainty including transient modes 
of rotating systems 
REFERENCIES

2022-09-15T09:27:59Z

Ekartus: Ekartus pervadino puslapį Aktyvios pamokos - Python į Informatika

Informatikos pamokomis dalinasi '''Eimutis Karčiauskas'''

1966m. laidos abiturientas (KTU licėjus - buvusi Kauno Purienų 22 vid. m-la).

Programuoja nuo 1969 metų, pradžioje dvejetainiais ir mašiniais kodais (asembleriu), 
po to Algol dialektais, PL/1, Pascal, C, C++, Java, C#, Python programavimo kalbomis.

Šiuo metu dirba KTU Informatikos fakulteto Programų inžinerijos katedros dėstytoju.

Pilnas pamokų rinkys yra čia https://wiki.angis.net/w/Ap

Informatika

2022-09-15T09:26:07Z

Ekartus:

2022-06-22T17:33:16Z

Ekartus: Naujas puslapis: Tai - standartinės Python programavimo kalbos vadovėlis, išverstas iš [https://en.wikibooks.org/wiki/Non-Programmer%27s_Tutorial_for_Python_3 Non programmer's Tutorial for Python 3]. Šis vadovėlis yra atvirojo kodo, [https://www.gnu.org/licenses/gpl-3.0.html GPL v3] licencija. ==Turinys== {{print version}} {{PDF version}} ;Autoriai : Originalaus (angliško) vadovėlio autoriai ir vertėjai į lietuvių kalbą. ;Python_Vadovėlis/Į...