نتایج جستجو برای: fault characteristic frequencyl

تعداد نتایج: 237969  

Journal: :IEEE transactions on neural networks 1995
Dan Simon Hossny El-Sherief

The optimal interpolative (OI) classification network is extended to include fault tolerance and make the network more robust to the loss of a neuron. The OI net has the characteristic that the training data are fit with no more neurons than necessary. Fault tolerance further reduces the number of neurons generated during the learning procedure while maintaining the generalization capabilities ...

2003
Harish K. Kashyap U. Jayachandra Shenoy

Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. Probabilistic Neural Network (PNN) for detecting the type of fault is used. The work presented in this paper is focused on identification of simple power system faults. Wavelet Transform (WT) of the transient disturbance caused as a result of occurrence of f...

2010
Donald L. Simon

Receiver Operator Characteristic (ROC) curves are commonly applied as metrics for quantifying the performance of binary fault detection systems. An ROC curve provides a visual representation of a detection system’s True Positive Rate versus False Positive Rate sensitivity as the detection threshold is varied. The area under the curve provides a measure of fault detection performance independent...

2017
Zhuo Yang Junjie Ba Jing Pan Guanghui Zhou Ge Liu Li Min

Power transformers are one of the most critical devices in power systems. It is responsible for voltage conversion, power distribution and transmission, and provides power services. Therefore, the normal operation of the transformer is an important guarantee for the safe, reliable, high quality and economical operation of the power system. It is necessary to minimize and reduce the occurrence o...

2013
Akshat Singhal Meera A. Khandekar

ABSTACT: In the present scenario every industry need Condition Based Monitoring System to avoid unwanted faults in the process components. Vibration condition monitoring technique is widely used for fault detection. Vibration monitoring is the most reliable method of assessing the overall health of a motor system. In this paper we work on 2 Hp inductions motor. Ball bearing fault is widely occu...

2013
Junjie Ren Shimin Zhang

Recurrence interval of large earthquake on an active fault zone is an important parameter in assessing seismic hazard. The 2008 Wenchuan earthquake (Mw 7.9) occurred on the central Longmen Shan fault zone and ruptured the Yingxiu-Beichuan fault (YBF) and the Guanxian-Jiangyou fault (GJF). However, there is a considerable discrepancy among recurrence intervals of large earthquake in preseismic a...

Journal: :Advances in transdisciplinary engineering 2022

In the process of excavation hydraulic tunnels across fault zone, surrounding rock often lose steady and collapse, which will threaten personal security. this paper, a 3D model was established according to Hami pumped storage power station in Xinjiang. The variation stress, deformation plastic zone under condition full section without support timely after are compares analysis. calculated resul...

2011
Qiang Miao Lin Cong Michael Pecht

Complex systems can significantly benefit from condition monitoring and diagnosis to optimize operational availability and safety. However, for most complex systems, multi-fault diagnosis is a challenging issue, as fault-related components are often too close in the frequency domain to be easily identified. In this paper, the interpolated discrete Fourier transform (IpDFT) with maximum sidelobe...

2009
Sebnem Bora Oguz Dikenelli

Replication is widely used to improve fault tolerance in distributed and multi-agent systems. In this paper, we present a different point of view on replication in multi-agent systems. The approach we propose is based on role concept. We define a specific “fault tolerant role” which encapsulates all behaviors related to replication-based fault tolerance in this work. Our strategy is mainly focu...

2016
Ibrahim Rehab Xiange Tian Ruiliang Zhang Fengshou Gu Andrew D. Ball

The rolling element bearing is a key part of machines. The accurate and timely diagnosis of its faults is critical for predictive maintenance. Most researches have focused on the fault location identification. To estimate the fault severity accurately, this paper focuses on the study of roller bearing vibration amplitude under increasing radial clearances due to inevitable wear using the modula...

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