Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection /

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Bibliographic Details
Main Author: 395885 Chow, Mo-Yuen
Format:
Language:eng
Published: Singapore : World Scientific Publishing, 1997
Subjects:
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author 395885 Chow, Mo-Yuen
author_facet 395885 Chow, Mo-Yuen
author_sort 395885 Chow, Mo-Yuen
collection OCEAN
description 15
first_indexed 2024-03-04T16:44:19Z
format
id KOHA-OAI-TEST:85203
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-04T16:44:19Z
publishDate 1997
publisher Singapore : World Scientific Publishing,
record_format dspace
spelling KOHA-OAI-TEST:852032020-12-19T17:00:46ZMethodologies of using neural network and fuzzy logic technologies for motor incipient fault detection / 395885 Chow, Mo-Yuen Singapore : World Scientific Publishing,1997eng15PSZJBLElectric motors, InductionElectric machineryFault location (Engineering)Fuzzy logicURN:ISBN:9810232659 (HB)
spellingShingle Electric motors, Induction
Electric machinery
Fault location (Engineering)
Fuzzy logic
395885 Chow, Mo-Yuen
Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection /
title Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection /
title_full Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection /
title_fullStr Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection /
title_full_unstemmed Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection /
title_short Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection /
title_sort methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection
topic Electric motors, Induction
Electric machinery
Fault location (Engineering)
Fuzzy logic
work_keys_str_mv AT 395885chowmoyuen methodologiesofusingneuralnetworkandfuzzylogictechnologiesformotorincipientfaultdetection