Compound Fault Characteristic Analysis for Fault Diagnosis of a Planetary Gear Train
SensorsThe carrier eccentricity error and gear compound faults are most likely to occur simultaneously in an actual planetary gear train (PGT). Various faults and errors are coupled with each other to generate a complex dynamic response, which makes the ...
Yulin Ren +5 more
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A Compound Fault Labeling and Diagnosis Method Based on Flight Data and BIT Record of UAV [PDF]
Applied Sciences, 2021 In the process of Unmanned Aerial Vehicle (UAV) flight testing, plenty of compound faults exist, which could be composed of concurrent single faults or over-limit states alarmed by Built-In-Test (BIT) equipment.
Ke Zheng +3 more
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Compound Fault Diagnosis of Gearbox Based on RLMD and SSA-PNN [PDF]
Mathematical Problems in Engineering, 2021 In order to solve the difficulty in the classification of gearbox compound faults, a gearbox fault diagnosis method based on the sparrow search algorithm (SSA) improved probabilistic neural network (PNN) is proposed. Firstly, the gearbox fault signal is decomposed into a series of product functions (PFs) by robust local mean decomposition (RLMD). Then,
Shitong Liang, Jie Ma
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A compound fault diagnosis model for gearboxes using correlation information between single faults
Measurement Science and Technology, 2023 Abstract Gearboxes are key components of rotating machinery. Performing intelligent fault diagnosis of gearboxes with condition-based monitoring information helps to make reliable decisions on equipment operation and maintenance. Besides single faults, compound faults also are common failure forms of gearboxes.
Ming Zeng +3 more
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Multiple Enhanced Sparse Representation via IACMDSR Model for Bearing Compound Fault Diagnosis. [PDF]
Sensors (Basel), 2022 Zhang L +6 more
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Compound Fault Diagnosis Method of Modular Multilevel Converter Based on Improved Capsule Network [PDF]
IEEE Access, 2022 When submodule (SM) compound fault occurs in the Modular multilevel converter (MMC), the time-domain waveform characteristics of output current and internal circuiting current of MMC are not obvious, especially on the condition of high-level MMC.
Longzhang Ke, Yi Liu, Yi Yang
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Shock and VibrationThe coupling torque signal contains essential information about the operating condition of the motor-follower mechanical system. Artificial Intelligence methods have been effective in diagnosing coupling faults.
Fu Liu, Haopeng Chen, Yan Wang
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The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery. [PDF]
Entropy (Basel), 2019 Wang X, Si S, Wei Y, Li Y.
europepmc +3 more sources
MSRCN: A cross-machine diagnosis method for the CNC spindle motors with compound faults
Expert Systems with Applications, 2023 Yiming He, Weiming Shen
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Results in Physics, 2022 Deep learning has extensive application in fault diagnosis regarding the health monitoring of machinery core components. Although deep networks have better nonlinear representation ability, they inevitably introduce a large number of parameters ...
Jiahui Tang, Jimei Wu, Jiajuan Qing
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