Journal ArticleDOI
Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems
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TLDR
It is shown that the proposed method correctly detects and diagnoses the most commonly occurring track circuit failures in a laboratory test rig of one type of audio frequency jointless track circuit.About:
This article is published in Control Engineering Practice.The article was published on 2008-05-01. It has received 123 citations till now. The article focuses on the topics: Fault detection and isolation & Neuro-fuzzy.read more
Citations
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Journal ArticleDOI
Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks
TL;DR: The long-short-term memory (LSTM) recurrent neural network is proposed to accomplish fault detection and identification tasks based on the commonly available measurement signals by considering the signals from multiple track circuits in a geographic area.
Patent
Trip optimization system and method for a train
Ajith Kuttannair Kumar,Glenn Robert Shaffer,Paul K. Houpt,Bernardo Adrian Movsichoff,David So Keung Chan,Sukru Alper Eker +5 more
TL;DR: In this paper, a system for operating a train having one or more locomotive consists with each locomotive consist comprising one or multiple locomotives is presented, which includes a locator element to determine a location of the train, a track characterization element to provide information about a track, a sensor for measuring an operating condition of the locomotive, a processor operable to receive information from the locator elements, the track characterizing element, and the sensor, and an algorithm embodied within the processor having access to the information to create a trip plan that optimizes performance of the
Journal ArticleDOI
Fault diagnosis for temperature, flow rate and pressure sensors in VAV systems using wavelet neural network
Zhimin Du,Xinqiao Jin,Yunyu Yang +2 more
TL;DR: Wavelet neural network, the integration of wavelet analysis and neural networks, is presented to diagnose the faults of sensors including temperature, flow rate and pressure in variable air volume (VAV) systems to ensure well capacity of energy conservation.
Journal ArticleDOI
Fault diagnosis network design for vehicle on-board equipments of high-speed railway
Jiateng Yin,Wentian Zhao +1 more
TL;DR: An automated diagnosis network of VOBE for high-speed train via a deep learning approach, which improves the accuracy of fault diagnosis for VOBEs to 9095% in HSRs and outperforms both KNN and ANN-BP.
Journal ArticleDOI
Towards multi-model approaches to predictive maintenance: A systematic literature survey on diagnostics and prognostics
Juan José Montero Jimenez,Juan José Montero Jimenez,Sébastien Schwartz,Sébastien Schwartz,Rob A. Vingerhoeds,Bernard Grabot,Michel Salaün +6 more
TL;DR: This systematic survey aims at presenting the current trends in diagnostics and prognostics giving special attention to multi-model approaches and summarizing the current challenges and research opportunities.
References
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Journal ArticleDOI
ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Book
Introduction to Linear Regression Analysis
TL;DR: In this paper, the authors propose a simple linear regression model with variable selection and multicollinearity for robust regression, and validate the model using regression analysis and validation of regression models.
Book
Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
TL;DR: This text provides a comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing with equal emphasis on theoretical aspects of covered methodologies, empirical observations, and verifications of various applications in practice.
Journal ArticleDOI
Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]
TL;DR: Interestingly, neuro fuzzy and soft computing a computational approach to learning and machine intelligence that you really wait for now is coming.
Book
Robust Model-Based Fault Diagnosis for Dynamic Systems
Jie Chen,Ron J. Patton +1 more
TL;DR: Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.