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An AM-CNN-BiGRU network with spatiotemporal feature fusion for industrial robot predictive maintenance. [PDF]
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Risk Analysis of Equipment Failure through Failure Mode and Effect Analysis and Fault Tree Analysis
Journal of Failure Analysis and Prevention, 2021Competitive environment in manufacturing sector cannot afford frequent breakdown of aged critical equipment. In this paper, an attempt is made to develop a method to determine critical equipment with the help of failure mode and effect analysis (FMEA) and occurrence of failure.
Anand S. Relkar
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Decision Support System for Medical Equipment Failure Analysis
2018 9th Cairo International Biomedical Engineering Conference (CIBEC), 2018Medical equipment management raises a range of complex problems including those associated with maintenance process. In developing countries, hospitals rarely implement a coherent management plan in medical equipment management. One of the most significant challenges is to distinguish medical equipment that requires repair from those require ...
Amira M. Osman +3 more
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A hybrid expert system for equipment failure analysis
Expert Systems with Applications, 2005This paper outlines the development of a web-based expert system, equipment failure analysis expert system (EFAES), for the largest steel company in Taiwan. The EFAES inference engine employs both case-based reasoning (CBR) and rule-based reasoning (RBR) to generate a hybrid recommendation list for cross validation.
H WANG, H WANG
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Failure function matrix for interconnected equipment failure analysis
International Journal of Industrial and Systems Engineering, 2023Amanuel Amare Gebrekidan +1 more
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Electric Signature Detection and Analysis for Power Equipment Failure Monitoring in Smart Grid
IEEE Transactions on Industrial Informatics, 2021Power equipment is one kind of basic element in smart grid, and how to design an efficient detection and analysis scheme of electric signature (ES) for power equipment failure (PEF) monitoring is a key and challenging issue.
Shunfan He +3 more
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Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model
arXiv.org, 2020This paper aims at improving the classification accuracy of a Support Vector Machine (SVM) classifier with Sequential Minimal Optimization (SMO) training algorithm in order to properly classify failure and normal instances from oil and gas equipment data.
Zhiyuan Chen +2 more
semanticscholar +1 more source