Abstract
This chapter outlines the state of the art on motor protection, monitoring, and failure prediction using inverter capabilities (sensing, data processing, and signal application) while feeding the electric motor. The methods included in this comprehensive review are thermal monitoring and protection schemes, monitoring schemes for insulation related issues, and methods that analyze the mechanical health of the motor or an asset connected to the motor. Other topics of interest include thermal modeling of electric machines, spectral analysis, expert systems, neural networks, and parameter estimation. The techniques described in this chapter are applied to induction machines, brushless direct current (DC) machines, and reluctance and synchronous motors.
Original language | English |
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Title of host publication | Fault Diagnosis for Robust Inverter Power Drives |
Publisher | Institution of Engineering and Technology |
Pages | 185-252 |
Number of pages | 68 |
ISBN (Electronic) | 9781785614101 |
DOIs | |
State | Published - 1 Jan 2018 |
Bibliographical note
Publisher Copyright:© The Institution of Engineering and Technology 2019.
Keywords
- Asynchronous machines
- Brushless direct current machines
- Condition monitoring
- Data processing
- Electric machine analysis computing
- Electric machines
- Electric motor
- Expert systems
- Failure prediction
- Fault diagnosis
- Insulation related issues
- Inverter capabilities
- Invertors
- Machine testing
- Machine theory
- Mechanical health
- Monitoring schemes
- Motor diagnostics
- Motor protection
- Neural nets
- Parameter estimation
- Permanent magnet motors
- Protection schemes
- Reluctance motors
- Signal application
- Spectral analysis
- Synchronous motors
- Thermal modeling
- Thermal monitoring