Induction motor broken rotor bar faults diagnosis using ANFIS-based DWT
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Modelling and Simulation"
DOI: 10.1080/02286203.2019.1708173
Abstract: ABSTRACT This paper proposes a new method for diagnosis Broken Rotor Bar (BRB) faults in three phase squirrel-cage induction motors. The proposed method is based on the stator current signature analysis using Discrete Wavelet Transform… read more here.
Keywords: broken rotor; diagnosis; faults diagnosis; induction motor ... See more keywords
Spectrum-Based, Full-Band Preprocessing, and Two-Dimensional Separation of Bearing and Gear Compound Faults Diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3063189
Abstract: Compound faults diagnosis of bearings and gears in gearboxes is a full-challenging task. The rational usage of meshing resonance is probable to be one of the breakthroughs to solve this problem. However, the existing detection… read more here.
Keywords: full band; method; band preprocessing; band ... See more keywords
Collaborative and Conditional Deep Adversarial Network for Intelligent Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3208661
Abstract: In real applications, the data distribution may be inconsistent due to the different working conditions of the equipment, resulting in significant performance degradation of a well-trained faults diagnosis model. To this end, unsupervised domain adaptation… read more here.
Keywords: collaborative conditional; deep adversarial; diagnosis; conditional deep ... See more keywords