A review of stochastic resonance in rotating machine fault detection
Sign Up to like & getrecommendations! Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.06.032
Abstract: Abstract Condition-based monitoring and machine fault detection play important roles in industry as they can ensure safety and reduce breakdown loss. Weak signal detection is an essential stage in many signal processing-based machine fault detection… read more here.
Keywords: rotating machine; machine fault; fault detection; machine ... See more keywords
Deep Transfer Network With Multi-Kernel Dynamic Distribution Adaptation for Cross-Machine Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3053075
Abstract: Recently, various deep learning models, which are mainly based on data-driven algorithms, have received more and more attention in the field of intelligent fault diagnosis and prognostics. However, there are two major assumptions accepted by… read more here.
Keywords: diagnosis; machine fault; cross machine; transfer ... See more keywords
Self-Training Reinforced Adversarial Adaptation for Machine Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3229344
Abstract: To alleviate the predicament of data annotating and the need for collecting data from identical distribution, unsupervised domain adaptation technologies have been widely deployed in the field of machine fault diagnosis. Nevertheless, most of them… read more here.
Keywords: fault diagnosis; adaptation; self training; adversarial adaptation ... See more keywords
Machine Fault Diagnosis Method Using Lightweight 1-D Separable Convolution and WSNs With Sensor Computing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3206764
Abstract: Compared with a wired machine fault diagnosis system, a wireless one based on wireless sensor networks (WSNs) has many inherent merits, such as low cost and ease of installation. However, the limited bandwidth and battery… read more here.
Keywords: diagnosis; fault diagnosis; machine fault; method ... See more keywords
Vibrational Triboelectric Nanogenerator-Based Multinode Self-Powered Sensor Network for Machine Fault Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2020.2993336
Abstract: Physical parameter sensing largely benefits the lifetime and operational costs of machines and has been widely used for machine fault detection. Herein, in this article, we developed a multinode sensor network, which is fully self-powered… read more here.
Keywords: machine fault; fault detection; machine; self powered ... See more keywords