@inproceedings{0cafb2be655d4752aa31f7dd8f3812c8,
title = "Fault diagnosis of the continuous stirred tank heater using fuzzy-possibilistic c-means algorithm",
abstract = "This paper mainly introduces a practical algorithm called fuzzy-possibilistic c-means (FPCM) clustering algorithm. It is based on fuzzy c-means (FCM) clustering algorithm and possibilistic c-means (PCM) clustering algorithm. FPCM algorithm figures out the existing problems of the above two algorithms and produces both memberships and possibilities simultaneously. For example, FPCM algorithm works out the inconsistency problem of FCM algorithm and overcomes the coincident clusters problem of PCM algorithm. Then this paper applies FPCM algorithm to the fault detection and diagnosis of the continuous stirred tank heaterCSTH). The effect of the fault diagnosis approach is demonstrated on the CSTH benchmark.",
keywords = "Clustering, Data-driven, FPCM, Fault detection, Fault diagnosis",
author = "Shen Yin and Jingxin Zhang",
year = "2014",
doi = "10.1109/ISIE.2014.6865003",
language = "英语",
isbn = "9781479923991",
series = "IEEE International Symposium on Industrial Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2445--2450",
booktitle = "Proceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014",
address = "美国",
note = "2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 ; Conference date: 01-06-2014 Through 04-06-2014",
}