Motor diagnostics and protection using inverter capabilities

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.

Año de publicación:

2018

Keywords:

• Reluctance motors
• Invertors
• Asynchronous machines
• Motor protection
• Motor protection
• Machine theory
• condition monitoring
• Data processing
• Brushless direct current machines
• Inverter capabilities
• Permanent magnet motors
• Monitoring schemes
• Mechanical health
• Insulation related issues
• Parameter estimation
• Thermal modeling
• Thermal monitoring
• Motor diagnostics
• Protection schemes
• Fault diagnosis
• Spectral Analysis
• Electric motor
• Electric machines
• Machine testing
• Electric machine analysis computing
• Neural nets
• Expert systems
• Synchronous motors
• Synchronous motors
• Signal application
• Failure pbkp_rediction

Fuente:

google

scopus