Results 31 to 40 of about 2,331,494 (299)
Design of remote fault prediction system for coal preparation equipments
Gong-kuang zidonghua, 2019 In view of problems existing in current coal preparation equipments fault prediction, such as equipments monitoring data conversion method was not unified, single fault classification model cannot meet requirements of multiple fault types prediction, and
FU Xiang, WANG Ranfeng, PANG Liang
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, 2023 Fault diagnosis is important in rotor systems because severe damage can occur during the operation of systems under harsh conditions. The advancements in machine learning and deep learning have led to enhanced performance of classification. Two important
Byeongil Kim, Dongwoo Hong, Taehwan Son
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A Novel Multimode Fault Classification Method Based on Deep Learning
Journal of Control Science and Engineering, 2017 Due to the problem of load varying or environment changing, machinery equipment often operates in multimode. The data feature involved in the observation often varies with mode changing.
Funa Zhou, Yulin Gao, Chenglin Wen
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Sensors, 2020 Gearbox fault diagnosis based on the analysis of vibration signals has been a major research topic for a few decades due to the advantages of vibration characteristics.
Cong Dai Nguyen +3 more
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Real-Time Fault Classification for Plasma Processes [PDF]
Sensors, 2011 Plasma process tools, which usually cost several millions of US dollars, are often used in the semiconductor fabrication etching process. If the plasma process is halted due to some process fault, the productivity will be reduced and the cost will increase. In order to maximize the product/wafer yield and tool productivity, a timely and effective fault
Yang, Ryan, Chen, Rongshun
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A Hybrid Gearbox Fault Diagnosis Method Based on GWO-VMD and DE-KELM
Applied Sciences, 2021 In this paper, a vibration signal-based hybrid diagnostic method, including vibration signal adaptive decomposition, vibration signal reconstruction, fault feature extraction, and gearbox fault classification, is proposed to realize fault diagnosis of ...
Gang Yao +3 more
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Real-time fault diagnosis and fault-tolerant control [PDF]
, 2015 This "Special Section on Real-Time Fault Diagnosis and Fault-Tolerant Control" of the IEEE Transactions on Industrial Electronics is motivated to provide a forum for academic and industrial communities to report recent theoretic/application results in ...
Cecati, Carlo +2 more
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Classification of Aircraft Maneuvers for Fault Detection [PDF]
, 2003 Ensemble classifiers tend to outperform their component base classifiers when the training data are subject to variability. This intuitively makes ensemble classifiers useful for application to the problem of aircraft fault detection. Automated fault detection is an increasingly important problem in aircraft maintenance and operation.
Nikunj C. Oza +3 more
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Fault Diagnosis of Reciprocating Compressors Using Revelance Vector Machines with A Genetic Algorithm Based on Vibration Data [PDF]
This paper focuses on the development of an advanced fault classifier for monitoring reciprocating compressors (RC) based on vibration signals. Many feature parameters can be used for fault diagnosis, here the classifier is developed based on a relevance
Gu, Fengshou +3 more
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An Application to Transient Current Signal based Induction Motor Fault Diagnosis of Fourier-Bessel Expansion and Simplified Fuzzy ARTMAP [PDF]
, 2013 The start-up transient signals have been widely used for fault diagnosis of induction motor because they can reveal early defects in the development process, which are not easily detected with the signals in the steady state operation. However, transient
Ball, Andrew +4 more
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