PCA-based sensor fault diagnosis for aero-engine

2015 ◽  
Author(s):  
Zhen Zhao ◽  
Yi-gang Sun ◽  
Jun Zhang
Keyword(s):  
Fault Diagnosis ◽  
Sensor Fault ◽  
Aero Engine

Sensor fault diagnosis of aero-engine based on divided flight status

2017 ◽  
Vol 88 (11) ◽  
pp. 115007 ◽  
Author(s):  
Zhen Zhao ◽  
Jun Zhang ◽  
Yigang Sun ◽  
Zhexu Liu
Keyword(s):  
Fault Diagnosis ◽  
Sensor Fault ◽  
Aero Engine

scholarly journals Sensor Fault Diagnosis Based on Adaptive Arc Fuzzy DBN-Petri Net

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 20305-20317
Author(s):  
Shenglei Zhao ◽  
Jiming Li ◽  
Xuezhen Cheng
Keyword(s):  
Fault Diagnosis ◽  
Petri Net ◽  
Sensor Fault

scholarly journals Vibration Monitoring for Position Sensor Fault Diagnosis in Brushless DC Motor Drives

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2248
Author(s):  
Dimitrios A. Papathanasopoulos ◽  
Konstantinos N. Giannousakis ◽  
Evangelos S. Dermatas ◽  
Epaminondas D. Mitronikas
Keyword(s):  
Fault Diagnosis ◽  
Harmonic Component ◽  
Motor Drives ◽  
Brushless Dc Motor ◽  
Position Sensor ◽  
Sensor Faults ◽  
Sensor Fault ◽  
Brushless Dc ◽  
Non Invasive ◽  
Dc Motor Drives

A non-invasive technique for condition monitoring of brushless DC motor drives is proposed in this study for Hall-effect position sensor fault diagnosis. Position sensor faults affect rotor position feedback, resulting in faulty transitions, which in turn cause current fluctuations and mechanical oscillations, derating system performance and threatening life expectancy. The main concept of the proposed technique is to detect the faults using vibration signals, acquired by low-cost piezoelectric sensors. With this aim, the frequency spectrum of the piezoelectric sensor output signal is analyzed both under the healthy and faulty operating conditions to highlight the fault signature. Therefore, the second harmonic component of the vibration signal spectrum is evaluated as a reliable signature for the detection of misalignment faults, while the fourth harmonic component is investigated for the position sensor breakdown fault, considering both single and double sensor faults. As the fault signature is localized at these harmonic components, the Goertzel algorithm is promoted as an efficient tool for the harmonic analysis in a narrow frequency band. Simulation results of the system operation, under healthy and faulty conditions, are presented along with the experimental results, verifying the proposed technique performance in detecting the position sensor faults in a non-invasive manner.

An Adaptive Multi-Sensor Fault Diagnosis Method for High-Speed Train Traction Converters

2020 ◽  
pp. 1-1
Author(s):  
Honghui Dong ◽  
Fuzhao Chen ◽  
zhipeng wang ◽  
Limin Jia ◽  
Yong Qin ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
High Speed ◽  
High Speed Train ◽  
Sensor Fault ◽  
Diagnosis Method

Investigation of unknown input observer for sensor fault diagnosis for a CSTR process

2021 ◽  
Author(s):  
V. Kamatchi Kannan ◽  
R. Srimathi ◽  
V. Gomathi ◽  
R. Valarmathi ◽  
L.T. PrithiEkammai
Keyword(s):  
Fault Diagnosis ◽  
Unknown Input ◽  
Unknown Input Observer ◽  
Sensor Fault
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