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- W4385293885 abstract "Abstract Machine fault detection has been attracting significant attention from industry. The early detection of faults in rotating machines can significantly enhance the safety, reliability, and economic issues of industrial operations. With the emerging technology of artificial neural networks and fuzzy logic, the machine fault detection problem can be solved using an innovative approach based on easy accessible measurements, without the need for expensive equipment or accurate mathematical models that are required from conventional fault detection techniques. This paper will describe the advantages and the challenge of using the technology of artificial neural networks to solve machine fault detection problems, and also highlights parts of the research results obtained by the authors. A case study of motor fault detection is presented in this paper." @default.
- W4385293885 created "2023-07-28" @default.
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- W4385293885 date "1996-11-17" @default.
- W4385293885 modified "2023-09-23" @default.
- W4385293885 title "The Development of Machine Fault Detection Using Artificial Neural Network and Fuzzy Logic Technologies" @default.
- W4385293885 doi "https://doi.org/10.1115/imece1996-0825" @default.
- W4385293885 hasPublicationYear "1996" @default.
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