An Order Tracking-free method for variable speed fault diagnosis based on Adaptive Chirp Mode Decomposition

Measurement ◽  
2021 ◽  
pp. 109949
Author(s):  
Lu Wang ◽  
Shulin Liu ◽  
Xin Sun ◽  
Dongfang Zhao ◽  
Xiaoyang Liu ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Variable Speed ◽  
Order Tracking ◽  
Mode Decomposition

Intelligent Bearing Fault Diagnosis Based on Tacholess Order Tracking for a Variable-Speed AC Electric Machine

2019 ◽  
Vol 19 (5) ◽  
pp. 1850-1861 ◽  
Author(s):  
Jiahao Niu ◽  
Siliang Lu ◽  
Yongbin Liu ◽  
Jiwen Zhao ◽  
Qunjing Wang
Keyword(s):  
Fault Diagnosis ◽  
Electric Machine ◽  
Variable Speed ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Order Tracking

Fault diagnosis of planetary gearbox under variable-speed conditions using an improved adaptive chirp mode decomposition

2020 ◽  
Vol 468 ◽  
pp. 115065 ◽  
Author(s):  
Shiqian Chen ◽  
Minggang Du ◽  
Zhike Peng ◽  
Zhipeng Feng ◽  
Wenming Zhang
Keyword(s):  
Fault Diagnosis ◽  
Variable Speed ◽  
Planetary Gearbox ◽  
Mode Decomposition

A Hybrid Method for Detection and Diagnosis of Faulty Roller Bearings

2019 ◽  
Vol 795 ◽  
pp. 473-478 ◽  
Author(s):  
Fei Xu ◽  
Zhan Si Jiang ◽  
Hui Jiang
Keyword(s):  
Hybrid Method ◽  
Roller Bearing ◽  
Fault Detection And Diagnosis ◽  
Variable Speed ◽  
Bearing Faults ◽  
Order Tracking ◽  
Mode Decomposition ◽  
Detection And Diagnosis ◽  
Effective Diagnosis ◽  
Envelope Spectrum

There are few research on bearing fault detection and diagnosis which combine constant speed with variable speed. In this paper, a hybrid method is proposed to realize the nondestructive testing and fault diagnosis of roller bearing faults. First, adopts computed order tracking (COT) and variational mode decomposition (VMD) based order spectrum method to detect bearing faults under variable speed condition. Then, by using the method of VMD-based envelope spectrum analysis, we analyze a certain speed signal which is consistent with the velocity in the condition of variable speed, and verify the analysis under the condition of variable speed. The experimental results show that the method can realize the effective diagnosis of the fault bearing.

scholarly journals Mechanical Fault Diagnostic in PMSM from Only One Current Measurement: A Tacholess Order Tracking Approach

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 5011
Author(s):  
Abdallah Allouche ◽  
Erik Etien ◽  
Laurent Rambault ◽  
Thierry Doget ◽  
Sebastien Cauet ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Statistical Approach ◽  
Rotation Speed ◽  
Current Measurement ◽  
Synchronous Machines ◽  
Variable Speed ◽  
Position Measurement ◽  
Order Tracking ◽  
Rotor Angle ◽  
Set Up

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.

scholarly journals Fault diagnosis of gearbox based on improved polynomial adaptive chirp mode decomposition algorithm

2021 ◽  
Author(s):  
Lingli Cui ◽  
Yuchuan Peng ◽  
Tongtong LIU
Keyword(s):  
Fault Diagnosis ◽  
Instantaneous Frequency ◽  
Variable Speed ◽  
Vibration Signals ◽  
Planetary Gearbox ◽  
Time Frequency ◽  
Mode Decomposition ◽  
Frequency Representation ◽  
Study Results ◽  
Gearbox Vibration

Abstract The adaptive chirp mode decomposition (ACMD) has good time-frequency representation results in analyzing chirp signals, while there is a time-frequency ambiguity problem in the analysis of variable speed planetary gearbox vibration signals. To address this problem, a planetary gearbox fault diagnosis method based on improved polynomial adaptive chirp mode decomposition wavelet is proposed (IPACMD). Using Adaptive chirp mode decomposition, the amplitude and instantaneous frequency of multiple signal components are estimated; To avoid over-decomposition to generate spurious signal components, the similarity conditional entropy is used to optimize the adaptive chirp mode decomposition threshold ;The polynomial chirp transform (PCT) using a polynomial function instead of the linear chirp kernel in the chirp transform to improve the time-frequency aggregation of the instantaneous frequency curve of each signal component and output high-resolution time-frequency representation results. Compared with the original method, the proposed method has better time-frequency aggregation and is more effective for the analysis of variable speed planetary gearbox vibration signals. The simulation and experimental study results show that the method can effectively identify the frequency components and time-frequency characteristics of the variable-speed planetary gearbox vibration signal and realize the fault diagnosis of the planetary gearbox.

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