T
Tie Wang
Researcher at Taiyuan University of Technology
Publications - 55
Citations - 689
Tie Wang is an academic researcher from Taiyuan University of Technology. The author has contributed to research in topics: Fault detection and isolation & Diesel fuel. The author has an hindex of 12, co-authored 46 publications receiving 515 citations.
Papers
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A new method of accurate broken rotor bar diagnosis based on modulation signal bispectrum analysis of motor current signals
TL;DR: In this paper, a modulation signal bispectrum (MSB) analysis is applied to motor current from different broken rotor bar cases and a new MSB based sideband estimator is introduced for obtaining the amplitude at ( 1 ± 2 s ) f s (s is the rotor slip and f s is the fundamental supply frequency) with high accuracy.
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Gear wear monitoring by modulation signal bispectrum based on motor current signal analysis
TL;DR: In this paper, a modulation signal bispectrum based motor current signal analysis (MSB-MCSA) is proposed for gear wear monitoring. But, the method is not suitable for the case of high gear wear.
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Fault diagnosis of motor drives using stator current signal analysis based on dynamic time warping
TL;DR: In this article, the authors used dynamic time warping (DTW) to process the motor current signals for detecting and quantifying common faults in a downstream two-stage reciprocating compressor.
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Investigation into the meshing friction heat generation and transient thermal characteristics of spiral bevel gears
TL;DR: In this article, a coupled thermo-elastic 3D finite element model has been developed to analyse the frictional heat generation and transient thermal behaviour of spiral bevel gears, and the heat fluxes due to friction effects are applied to the gear tooth to investigate thermal characteristics and prediction of transient temperature fields.
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Gear wear process monitoring using a sideband estimator based on modulation signal bispectrum
TL;DR: In this paper, a gear wear condition monitoring approach based on vibration signal analysis using the modulation signal bispectrum-based sideband estimator (MSB-SE) method is presented.