Results 61 to 70 of about 73,405 (211)
Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis
IEEE Access, 2019 Intelligent compound fault diagnosis of rotating machinery plays a crucial role for the security, high-efficiency, and reliability of modern manufacture machines, but identifying and decoupling the compound fault are still a great challenge.
Ruyi Huang +3 more
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Experimental set-up for investigation of fault diagnosis of a centrifugal pump [PDF]
, 2017 Centrifugal pumps are complex machines which can experience different types of fault. Condition monitoring can be used in centrifugal pump fault detection through vibration analysis for mechanical and hydraulic forces. Vibration analysis methods have the
Ali Saud Al Tobi, Maamer +4 more
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Real-Time Fault Detection and Diagnosis System for Analog and Mixed-Signal Circuits of Acousto-Magnetic EAS Devices [PDF]
, 2015 © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
He, Yigang, Luo, Qiwu, Sun, Yichuang
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Energies, 2018 Compared with conventional methods of fault diagnosis for power transformers, which have defects such as imperfect encoding and too absolute encoding boundaries, this paper systematically discusses various intelligent approaches applied in fault ...
Lefeng Cheng, Tao Yu
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Applied Sciences, 2020 In recent years, the method of deep learning has been widely used in the field of fault diagnosis of mechanical equipment due to its strong feature extraction and other advantages such as high efficiency, portability, and so on. However, at present, most
Rui Ding +4 more
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Flight elements: Fault detection and fault management [PDF]
Fault management for an intelligent computational system must be developed using a top down integrated engineering approach. An approach proposed includes integrating the overall environment involving sensors and their associated data; design knowledge ...
Edge, J. T. +3 more
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Autonomous power system: Integrated scheduling [PDF]
The Autonomous Power System (APS) project at NASA Lewis Research Center is designed to demonstrate the abilities of integrated intelligent diagnosis, control and scheduling techniques to space power distribution hardware.
Ringer, Mark J.
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Computational Intelligence in Fault Diagnosis
, 2006 This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques. It focuses on computational intelligence applications to fault diagnosis with real-world applications used in different chapters to validate the different diagnosis methods.
openaire +2 more sources
A distributed fault-detection and diagnosis system using on-line parameter estimation [PDF]
The development of a model-based fault-detection and diagnosis system (FDD) is reviewed. The system can be used as an integral part of an intelligent control system.
Duyar, A., Guo, T.-H., Merrill, W.
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A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment
MachinesIn the era of rapid industrial automation advancements, the complexity of intelligent manufacturing equipment has been steadily escalated. Stringent demands for high-efficiency and high-precision diagnosis are increasingly being unmet by conventional ...
Yi Chen +4 more
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