"Selection of Input Parameters for Multivariate Classifiersin Proactive Machine Health Monitoring by Clustering Envelope Spectrum Harmonics" [PDF]
, 2015 In condition monitoring (CM) signal analysis the inherent problem of key characteristics being masked by noise can be addressed by analysis of the signal envelope.
Gu, Fengshou, Ball, Andrew, Smith, Ann
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Impact of Nominal Data Contamination and Fault Data Scarcity on Fault Classification Performance [PDF]
reservedThis thesis examines the impact of nominal data contamination and fault data scarcity on the performance of anomaly classification models used in industrial fault detection.
BAKIRCI, İCLEM NAZ
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Fault Diagnosis of Induction Motor Based on a Novel Intelligent Framework and Transient Current Signals [PDF]
, 2013 This paper deals with fault diagnosis of induction motor containing common faults by using a novel intelligent framework and transient stator current signals. This framework consists of a Fourier-Bessel (FB) expansion for analyzing the transient signals,
Tran, V.T. +8 more
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Semisupervised classification for fault diagnosis in nuclear power plants
Nuclear Engineering and Technology, 2015 Pattern classifications have become important tools for fault diagnosis in nuclear power plants (NPP). However, it is often difficult to obtain training data under fault conditions to train a supervised classification model.
Jianping Ma, Jin Jiang
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The Use of Advanced Soft Computing for Machinery Condition Monitoring [PDF]
The demand for cost effective, reliable and safe machinery operation requires accurate fault detection and classification. These issues are of paramount importance as potential failures of rotating and reciprocating machinery can be managed properly and ...
Ahmed, Mahmud
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Acoustic Emission Signal Classification in Condition Monitoring Using the Kolmogorov-Smirnov Statistic. [PDF]
, 2001 Acoustic emission (AE) measurement at the bearings of rotating machinery has become a useful tool for diagnosing incipient fault conditions. In particular, AE can be used to detect unwanted intermittent or partial rubbing between a rotating central ...
Mba, David +2 more
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Fuzzy Classification and Implementation Methods for Tugboat Main Engine Fault
MATEC Web of Conferences, 2017 The establishment of classification index system of fault in tugboat main engine was briefly discussed first. After that, the fuzzy method and procedures used in fault classification were introduced.
Xu Xiaohui, Bai Guangchen
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An online-integrated condition monitoring and prognostics framework for rotating equipment [PDF]
, 2014 Detecting abnormal operating conditions, which will lead to faults developing later, has important economic implications for industries trying to meet their performance and production goals.
Alrabady, Linda Antoun Yousef
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Software defect prediction based on association rule classification. [PDF]
In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task.
Vanthienen, Jan +3 more
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Fault diagnosis of permanent magnet synchronous motor based on MTF fusion image and NRBO-SCN method
Scientific ReportsTo address the limitations of conventional feature extraction methods in capturing fault information from operational current signals, the paper proposes a novel fault diagnosis method for permanent magnet synchronous motor (PMSM).
Yinquan Yu +5 more
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