40220472 (Condition Monitoring and Fault Diagnosis of Electrical Equipment)

Course Name: Condition Monitoring and Fault Diagnosis of Electrical Equipment

Course Number: 40220472

Program: Undergraduate program

Type: Required

Credits: 3

Term Offered: Spring

Prerequisite(s): High Voltage Engineering, Electronic Technology, Signal and Systems.

Instructor(s): Gao Wensheng


Online Monitoring and Fault Diagnosis of Electrical Equipment


On-line Detection Technology of Electrical Insulation.

Electrical Insulation Diagnostic Technology.

Course Description:

Condition monitoring and fault diagnosis of electrical equipment is the premise of achieving condition-based maintenance in power industry and the key to ensure power system runs safely and reliably. On-line monitoring and fault diagnosis of electrical equipment is related to many fields, including electrical insulation, high-voltage technology, sensing technology, digital signal processing technology, electronic technology, computer technology, and so on.

This course mainly introduces electrical equipment fault mechanism, fault analysis and description methods, key techniques of on-line monitoring, theory of equipment fault diagnosis, and so on. The content covers the basic knowledge including sensing technology, anti-interference technology, data processing, and the basic components of monitoring system, measurement methods of insulation performance including partial discharge, dielectric loss and dissolved gas analysis, as well as measurement methods of condition characteristics including vibration, pressure, and temperature. It focuses on introducing the concrete applications of condition monitoring technology in the fields of generation, transmission, substation and distribution. Meanwhile, it also presents the latest development in the field at home and abroad.

Course Objectives and Outcomes:

This course is a specialized course covering the content of technology of electrical equipment fault signal detection and analysis. Meanwhile, the above technology used for condition analysis and recognition in typical electrical equipment operation process is also researched in this course. Through learning the course, students’ ability of using the knowledge they have learned to correctly analyze and discriminate typical faults of electrical equipment will be improved. In addition, they will understand the development trend of fault diagnosis.


Course Topics:

1 Introduction

1.1 Evolution of electrical equipment maintenance system

1.2 Significance of electrical equipment condition monitoring

1.3 Development situation of electrical equipment condition monitoring

1.4 Technical requirements of condition monitoring system

2 Electrical Equipment Fault Mechanism and Fault Damage

2.1 Fault mechanism of electrical equipment

2.2 Fault situation of electrical equipment and fault damage

3 Methods of Describing and Analyzing Fault Condition of Electrical Equipment

3.1 Main fault types of electrical equipment and their causes

3.2 Fault recording and statistical methods

3.3 Fault description methods

3.4 Fault effects and criticality analysis

3.5 Fault tree analysis method

4 Principles and Methods of Equipment Condition Monitoring

4.1 Live line measurement and on-line monitoring

4.2 The key links of monitoring system

4.3 Measuring influence factors on site

4.4 Evaluation methods of condition monitoring system

4.5 Notes for condition monitoring system using on site

5 Sensing Technology

5.1 Characteristic indexes of sensors

5.2 Conditioning circuits of sensors

5.3 Sensors calibration

5.4 Sensors commonly used in on-line monitoring

6 Electromagnetic Compatibility and Anti-interference

6.1 Main interference source

6.2 Interference coupling ways

6.3 Grounding Technology

6.4.Shielding technology

6.5 Filter and Protection


7 Data Acquisition and Processing

7.1 Fault signal classification

7.2 Basic requirements for fault signal acquisition

7.3 Transmission and storage of condition information data

7.4 Fault signal analysis

8 Principles of Fault Alarm

8.1 Fault occurrence and development

8.2 Feature extraction of equipment fault

8.3 Threshold alarm

8.4 Association alarm

8.5 Trend alarm

8.6 Reliability of Fault Alarm

8.7 Integrated alarm policy

9 Intelligent Diagnostic Methods (1)

9.1 Methods of fault discrimination based on statistical classifier

9.2 Artificial neural networks

10 Intelligent Diagnostic Methods (2)

10.1 Fuzzy diagnosis method

10.2 Fault diagnosis expert system

10.3 Maintenance decision support system

11 Reliability Assessment and Maintenance Strategy

11.1 Equipment life assessment methods

11.2 Risk management and life-cycle cost analysis of equipment in-service

11.3 Visual management of equipment fault

11.4 Reliability centered equipment management

12 Equipment Monitoring in Power Plant

12.1 Vibration monitoring of large generators

12.2 Overheat monitoring of large generators

12.3 Discharge monitoring of large generators

13 Transmission Line Monitoring

13.1 On-line monitoring of overhead lines

13.2 On-line monitoring of power cables

13.3 Fault location

14 Substation Equipment Monitoring (1)

14.1 Oil chromatographic monitoring of transformers

14.2 Partial discharge monitoring of transformers

14.3 Winding deformation monitoring of transformers

15 Substation Equipment Monitoring (2)

15.1 On-line monitoring of capacitive equipment

15.2 On-line monitoring of switchgear

15.3 On-line monitoring of GIS

16 Distribution Network Monitoring

16.1 Main fault types of distribution equipment

16.2 Distribution network condition monitoring based on Geographic Information System

16.3 Power quality monitoring and management


Course Assessment:

       normal tests: 20%

exercise: 20%

course paper :60%