scholarly journals A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 418
Author(s):  
Erik Etien ◽  
Abdallah Allouche ◽  
Laurent Rambault ◽  
Thierry Doget ◽  
Sebastien Cauet ◽  
...  

This article deals with the detection of mechanical faults in synchronous machines from single current measurement at variable speed. The proposed approach is based on an order tracking method in which the analysis signal is sampled as a function of the mechanical angle. In this case, the spectral components become independent of the speed and the frequency analysis can be exploited. Order tracking is generally implemented from a position measurement. In this work we present a method that allows us to estimate this position and the analysis signal from only one current measurement. The proposed approach allows an intuitive adjustment of the algorithm parameters. Secondly, a statistical method is used to finalize the diagnosis. At variable speed, this type of method is difficult to implement and we show that order tracking makes it possible to simplify the analysis. The procedure is tested in simulation and on a experimental test bench.

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 5011
Author(s):  
Abdallah Allouche ◽  
Erik Etien ◽  
Laurent Rambault ◽  
Thierry Doget ◽  
Sebastien Cauet ◽  
...  

This article presents a mechanical fault diagnosis methodology in synchronous machines using only a single current measurement in variable speed conditions. The proposed methodology uses order tracking in order to sample the analysis signal as a function of the rotor angle. The spectrum of the signal is then independent of speed and it could be employed in frequency analysis. Order tracking is usually applied using rotor position measurement. In this work, the proposed method uses one current measurement to estimate the position as well as the analysis signal (rotation speed). Furthermore, a statistical approach is used to create a complete diagnosis protocol. At variable speed and with only one current measurement the diagnosis is challenging. However, order tracking will allow simpler analysis. The method is proved in simulations and experimental set-up.


Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5714
Author(s):  
Xun Zhang ◽  
Guanghua Xu ◽  
Jiachen Kuang ◽  
Lin Suo ◽  
Sicong Zhang ◽  
...  

Planetary gearboxes are the key components of large equipment, such as wind turbines, shield machines, etc. The operating state of the planetary gearbox is related to the safety of the equipment as a whole, and its feature extraction technology is essential. In assessing the problem of the non-stationarity of the current signal under variable speed conditions and the difficulty of evaluating the operating state of the planetary gearbox under a tacholess condition, a three-phase current, variable-speed tacholess envelope order analysis method is proposed. Firstly, a tacholess rotation speed estimation is completed by extracting the trend term of the instantaneous frequency of the asynchronous motor’s three-phase currents. The motor slip rate is assumed to be constant. Then, the envelope order analysis signal is obtained by re-sampling in the angular domain. Finally, the features of the envelope order signal are extracted, and a linear discriminant analysis (LDA) algorithm is used to fuse multiple indexes to generate a comprehensive feature reflecting the operating status of the planetary gearbox. The results of the simulation analysis and experimental verification show that the proposed method is effective in evaluating the operating state of the planetary gearbox under variable speed conditions. Compared with the traditional time–frequency ridge extraction method, the tacholess speed estimation method can improve the instantaneous speed estimation accuracy. The comprehensive index of envelope order completes the planetary gearbox state identification process, and a 95% classification accuracy rate is achieved.


Measurement ◽  
2021 ◽  
pp. 110127
Author(s):  
Madhurjya Dev Choudhury ◽  
Liu Hong ◽  
Jaspreet Singh Dhupia

2020 ◽  
Vol 35 (10) ◽  
pp. 11119-11128
Author(s):  
Mingjin Hu ◽  
Wei Hua ◽  
Zheng Wu ◽  
Ningyi Dai ◽  
Huafeng Xiao ◽  
...  

2017 ◽  
Vol 32 (2) ◽  
pp. 582-590 ◽  
Author(s):  
Chenjie Lin ◽  
Shiliang Wang ◽  
Mehdi Moallem ◽  
Babak Fahimi ◽  
Colin Tschida

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