Results 311 to 320 of about 5,249,936 (356)

Fault Detection in Gears Using Fault Samples Enlarged by a Combination of Numerical Simulation and a Generative Adversarial Network

IEEE/ASME transactions on mechatronics, 2022
It is inevitable for gear to become damaged, which has a profound effect on the performance of gear transmission systems. Solving the problem of gear fault detection using artificial intelligence models depends on sufficient fault samples, though they ...
Yun Gao, Xiao-Yang Liu, J. Xiang
semanticscholar   +1 more source

Resource Orchestration of Cloud-Edge–based Smart Grid Fault Detection

ACM Trans. Sens. Networks, 2022
Real-time smart grid monitoring is critical to enhancing resiliency and operational efficiency of power equipment. Cloud-based and edge-based fault detection systems integrating deep learning have been proposed recently to monitor the grid in real time ...
Jie Li, Yuxing Deng, Wei Sun, Weitao Li, Ruidong Li, Qiyue Li, Zhi Liu   +6 more
semanticscholar   +1 more source

An Insulator in Transmission Lines Recognition and Fault Detection Model Based on Improved Faster RCNN

IEEE Transactions on Instrumentation and Measurement, 2021
Insulators are critical electric components in transmission lines. Recognizing insulators and detecting the faults timely and accurately is essential for maintaining the safety and stability of transmission lines.
W. Zhao, Minfu Xu, Xingfu Cheng, Zhenbing Zhao   +3 more
semanticscholar   +1 more source

Asynchronous Fault Detection for Interval Type-2 Fuzzy Nonhomogeneous Higher Level Markov Jump Systems With Uncertain Transition Probabilities

IEEE transactions on fuzzy systems, 2021
Based on the interval type-2 fuzzy (IT2F) approach, this article investigates the fault detection filter design problem for a class of nonhomogeneous higher level Markov jump systems with uncertain transition probabilities.
Xiang Zhang, Hai Wang, V. Stojanovic, P. Cheng, Shuping He, X. Luan, Fei Liu   +6 more
semanticscholar   +1 more source

Review of fault detection techniques for predictive maintenance

Journal of Quality in Maintenance Engineering, 2022
PurposeThis study aims to bring awareness to the developing of fault detection systems using the data collected from sensor devices/physical devices of various systems for predictive maintenance.
D. Divya, Bhasi Marath, M. B. Santosh Kumar   +2 more
semanticscholar   +1 more source

A Neural Network Based Method for Thermal Fault Detection in Lithium-Ion Batteries

IEEE transactions on industrial electronics (1982. Print), 2021
Detecting thermal faults is critical to the safety of lithium-ion batteries. This article, therefore, proposes a neural network-based approach. The approach relies on the long short-term memory neural network, in conjunction with an alteration to the ...
Olaoluwa Ojo, H. Lang, Youngki Kim, Xiaosong Hu, Bingxian Mu, Xianke Lin   +5 more
semanticscholar   +1 more source

Interval-Observer-Based Fault Detection and Isolation Design for T-S Fuzzy System Based on Zonotope Analysis

IEEE transactions on fuzzy systems, 2021
This article deals with the fault detection and isolation problems for a class of uncertain discrete-time Takagi-Sugeno (T-S) fuzzy system based on the combination of the H-infinity observer and the zonotope method (ZM). For fault detection (FD) purpose,
Fanglai Zhu, Yuyan Tang, Zhenhua Wang
semanticscholar   +1 more source

Fault Detection and Location Method for Mesh-Type DC Microgrid Using Pearson Correlation Coefficient

IEEE Transactions on Power Delivery, 2021
Fault detection and location method are two significant techniques to recognize and clear the fault timely. This paper proposes a novel fault detection and location method for mesh-type DC microgrid.
Liang Kong, H. Nian
semanticscholar   +1 more source

Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes

IEEE Transactions on Industrial Informatics, 2021
Deep learning has recently emerged as a promising method for nonlinear process monitoring. However, ensuring that the features from process variables have representative information of the high-dimensional process data remains a challenge. In this study,
Kyojin Jang, Seokyoung Hong, Minsu Kim, Jonggeol Na, I. Moon   +4 more
semanticscholar   +1 more source

Multi-fault Detection and Isolation for Lithium-Ion Battery Systems

IEEE transactions on power electronics, 2021
Various faults in the lithium-ion battery system pose a threat to the performance and safety of the battery. However, early faults are difficult to detect, and false alarms occasionally occur due to similar features of the faults.
Kai Zhang, Xiaosong Hu, Yonggang Liu, Xianke Lin, Wenxue Liu   +4 more
semanticscholar   +1 more source