Modern Diagnostics Techniques for Electrical Machines, Power Electronics, and Drives

Data‐Driven Incipient Sensor Fault Estimation with Application in Inverter of High‐Speed Railway

“…There exists abundant researches for inverter sensor FDD over the past several decades [2,4,[6][7][8][9]. All of them can be mainly classified into two general categories, including model-based methods and knowledge-based methods.…”

“…Usually, a residual is to generate the fault indicating by available input and output information from sensors of inverter [4,6,9,10]. In addition, the knowledge-based methods [2,8] mainly depend on prior knowledge of inverter whose characteristics are to be summarized to distinguish or diagnose the faults.…”

Chromatic Monitoring of Gear Mechanical Degradation Based on Acoustic Emission

“…Indeed, mechanical components such as gears, external bearings or screw shafts, among others, are critically important for a proper operation of the machinery [1]. The faulty condition of a mechanical component, even external to the electrical machine, represents a triggering factor that leads to the propagation of secondary damages due to the continued operation.…”

Analytical and comparative study of using a CNC machine spindle motor power and infrared technology for the design of a cutting tool condition monitoring system

“…A vision system using infrared camera and image processing has been tested in tool wear and breakage [13]. Many research work has been published in relation to monitoring electrical motors and drives, see for example [14,15]. However, limited research has been found in literature in relation to the utilisation of infrared thermography combined with image processing techniques for predicting tool health of milling processes in comparison to electric power monitoring.…”