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https://www.sciencedirect.com/science/article/pii/S0952197601000185
Traditional help desk service centres are inefficient and ineffective in providing customer service support. This research has proposed a Web-based intelligent fault diagnosis system to support customer service over the Web. It is an on-going research between NTU and a multinational company.Cited by: 77
https://www.sciencedirect.com/science/article/abs/pii/S0952197601000185
This paper describes a Web-based intelligent fault diagnosis system, known as WebService, to support customer service over the Web. In the WebService system, a hybrid case-based reasoning (CBR) and artificial neural network (ANN) approach is adopted as the intelligent technique for machine fault diagnosis.Cited by: 77
https://www.researchgate.net/publication/222580686_A_web-based_intelligent_fault_diagnosis_system_for_customer_service_support
The authors, Hui et al. [83], provide a Web-based intelligent fault diagnosis system for customer service support. The intelligent technique for fault diagnosis is based on hybrid case base ...
http://unpan1.un.org/intradoc/groups/public/documents/un/unpan001211.pdf
associated disadvantages of the traditional customer service support environment can be eliminated. This paper describes a framework for Web-based and AI Agent-based online customer service support system, and discusses the method to use Rough Set Theory and Neural Network Theory to support intelligent fault diagnosis by
https://www.amazon.com/Intelligent-Diagnosis-Prognosis-Engineering-Systems/product-reviews/047172999X
Find helpful customer reviews and review ratings for Intelligent Fault Diagnosis and Prognosis for Engineering Systems at Amazon.com. Read honest and unbiased product reviews from our users.3.3/5(3)
http://harismkhalid.com/wp-content/uploads/2017/06/hMk-ICINCO.pdf
Abstract: An intelligent diagnostic scheme using sensor network for incipient faults is proposed using a holistic approach which integrates model-, fuzzy logic-, neural network- based schemes. In case the system is highly non-linear and there are enough training data available, a neural network based scheme is preferred; where
https://publikationen.uni-tuebingen.de/xmlui/bitstream/handle/10900/49235/pdf/Dissertation.pdf;sequence=1
Intelligent System for Fault Diagnosis in Automotive Applications 3 Abstract This work presents an intelligent system for fault diagnosis in automotive applications. The system is proposed to handle faults in a running car as well as in a car which is in the process of being developed.
https://link.springer.com/chapter/10.1007%2F978-0-387-36594-7_41
Web-based CSCW systems are intensively recommended. The paper for that proposes a framework of CSCW system with Web-based for remote substation fault diagnosis. The system applies Multi-Agent (MA) technology to construct distributed expert systems platform, and presents the collaboration and communication framework of the platform using J21EE.Author: Hongsheng Su, Jianwu Dang, Feng Zhao
http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/5299/pdf/imm5299.pdf
mated fault diagnosis in computer networks is an open research problem. The aim of this thesis is to develop a software system for Motorola Denmark, which assists network operators to diagnose fault in an intelligent, highly accu-rate and efficient way. In this thesis, we shall analyze the current fault diagnosis techniques. Then
https://www.sciencedirect.com/science/article/pii/S0952197601000185
Traditional help desk service centres are inefficient and ineffective in providing customer service support. This research has proposed a Web-based intelligent fault diagnosis system to support customer service over the Web. It is an on-going research between NTU and a multinational company.Cited by: 77
https://www.sciencedirect.com/science/article/abs/pii/S0952197601000185
This paper describes a Web-based intelligent fault diagnosis system, known as WebService, to support customer service over the Web. In the WebService system, a hybrid case-based reasoning (CBR) and artificial neural network (ANN) approach is adopted as the intelligent technique for …Cited by: 77
https://www.aaai.org/Papers/Symposia/Spring/1999/SS-99-04/SS99-04-013.pdf
deliver customer service support over the World Wide Web. This paper describes a Web-based intelligent fault diagnosis system, known as WebService, to support customer service over the Web. In the WebService system, a hybrid case-based reasoning (CBR), artificial neural network (ANN) and rule-based reasoning (RBR) approach is adopted for
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.488.4736
With the advent of Internet technology, it is possible to deliver customer service support over the World Wide Web. This paper describes a Web-based intelligent fault diagnosis system, known as WebService, to support customer service over the Web.
https://www.ntu.edu.sg/home/sfoo/publications/2001/01ijss1_fmt.pdf
enhanced Web-based customer support system. The proposed environment provides four major functions including online retrieval of fault information, machine translation, video-conferencing support and intelligent fault diagnosis. Together, it provides an integrated and extensible platform to transform the customer service
https://pdfs.semanticscholar.org/fcdc/f68a54ab2b1d2659f90760bff3293e498252.pdf
Nanyang Technological University, Singapore, a Web-based intelligent fault diagnosis system, known as WebService, has been developed in order to support customer services over the Web. 2. Intelligent Fault Diagnosis For the past few decades, there have been a proliferation of intelligent systems for fault diagnosis and related applications [1].
https://link.springer.com/chapter/10.1007%2F978-3-540-85563-7_47
This paper discusses the design and implementation of a web-based customer support system. The support facility operates using an adaptable knowledge base capable of diagnosing user problems. The system was developed for use by a software reseller in order to provide 24 hour support to its customer base accessible via the World Wide Web (WWW).Cited by: 3
https://www.researchgate.net/publication/221200661_A_Hybrid_Case-Based_Reasoning_and_Neural_Network_Approach_to_Online_Intelligent_Fault_Diagnosis
A Hybrid Case-Based Reasoning and Neural Network Approach to Online Intelligent Fault Diagnosis. Conference Paper (PDF Available) · January 1999 with 35 Reads How we measure 'reads'
https://acronyms.thefreedictionary.com/Fault+Diagnosis+System
FDS - Fault Diagnosis System. Looking for abbreviations of FDS? It is Fault Diagnosis System. Fault Diagnosis System listed as FDS. Fault Diagnosis System - How is Fault Diagnosis System abbreviated? ... A web-based intelligent fault diagnosis system for customer service support. ... Fault Diagnosis System; Fault Diagnostic Test Program ...
https://www.researchgate.net/publication/254399488_Ontology_Evolution_for_Customer_Services
With the advent of the Internet technology, it is possible to deliver customer service support over the World Wide Web. This paper describes a Web-based intelligent fault diagnosis system, known ...
http://unpan1.un.org/intradoc/groups/public/documents/un/unpan001211.pdf
associated disadvantages of the traditional customer service support environment can be eliminated. This paper describes a framework for Web-based and AI Agent-based online customer service support system, and discusses the method to use Rough Set Theory and Neural Network Theory to support intelligent fault diagnosis by
https://ieeexplore.ieee.org/document/962673/
Abstract: Traditional help desk service relies heavily on the expertise of service personnel. This article describes an intelligent data mining technique that combines neural network and rule-based reasoning with case-based reasoning to mine information from the customer service database for online machine fault diagnosis.
https://link.springer.com/chapter/10.1007%2F978-1-4020-7829-3_36
Abstract. With greater system complexity, shorter product life-cycles, lower production costs, and changing technologies, the need for intelligent tools for the diagnosis of electronic systems is becoming increasingly important.
http://scholar.google.com/citations?user=d4ZYx6gAAAAJ&hl=en
A web-based intelligent fault diagnosis system for customer service support SC Hui, ACM Fong, G Jha Engineering Applications of Artificial Intelligence 14 (4), 537-548 , 2001
https://www.deepdyve.com/lp/elsevier/an-integrated-help-desk-support-for-customer-services-over-the-world-mStd1fDbPC
Mar 01, 2000 · Read "An integrated help desk support for customer services over the World Wide Web — a case study, Computers in Industry" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://www.thefreelibrary.com/Exception+detection+for+web+service+composition+using+improved...-a0338892895
Artificial intelligent (AI), such as hybrid case-based reasoning (CBR) and artificial neural network (ANN), was adopted for machine fault diagnosis in web service system [8]. [17] proposed a model using meta-process for modular and adaptable exception handling of web service composition, which based on event, activity state and case data of ...
https://www.semanticscholar.org/paper/Data-mining-for-customer-service-support-Hui-Jha/667542d91ed15745247010d91465b50e3062ff76
In addition, a data mining technique that integrates neural network, case-based reasoning, and rule-based reasoning is proposed; it would search the unstructured customer service records for machine fault diagnosis. The proposed technique has been implemented to support intelligent fault diagnosis over the World Wide Web.
https://www.amazon.com/Intelligent-Diagnosis-Prognosis-Engineering-Systems/dp/047172999X
Intelligent Fault Diagnosis and Prognosis for Engineering Systems [George Vachtsevanos, Frank L. Lewis, Michael Roemer, Andrew Hess, Biqing Wu] on Amazon.com. *FREE* shipping on qualifying offers. Expert guidance on theory and practice in condition-based intelligent machine fault diagnosis and failure prognosis Intelligent Fault Diagnosis and Prognosis for Engineering Systems</i> gives a ...Reviews: 3
https://www.deepdyve.com/lp/ios-press/fault-diagnosis-in-industry-using-sensor-readings-and-case-based-E35TfoRd13
Jan 01, 2004 · Read "Fault diagnosis in industry using sensor readings and case-based reasoning, Journal of Intelligent & Fuzzy Systems" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
https://gregstanleyandassociates.com/whitepapers/FaultDiagnosis/faultdiagnosis.htm
Overview and Basic Terminology. This guide to fault detection and fault diagnosis is a work in progress. It will evolve over time, especially based on input from the LinkedIn group Fault Detection and Diagnosis.. Fault detection and diagnosis is a key component of many operations management automation systems.
https://support.hpe.com/hpsc/doc/public/display?docId=a00017710en_us
The MSA 2050 enclosures support the Storage Management Utility (SMU), which is a web-based application for configuring, monitoring, and managing the storage system. Both the SMU and the command-line interface (CLI) are briefly described. • The SMU is the primary web interface to …
https://www.semanticscholar.org/paper/Case-study%3A-implementing-a-web-based-auction-system-Sheldon-Jerath/a21b9a721907a5e8564320738545b95a7e9b31f2
This paper presents a case study highlighting the best practices for designing and building a web-based auction system using UML (Unified Model Language) and component-based programming. We use the Use Case, Class, Sequence, and Component Diagrams offered by UML for designing the system. This enables new functions to be added and updated easily.
http://support.huawei.com/onlinetoolweb/u2000/index_en.jsp
U2000 Brochure (Transport Domain) For MSTP, WDM, RTN, and submarine NEs, the U2000 supports PnP, automatic deployment, batch provisioning of various services in a visible and controllable manner, intelligent fault diagnosis, and one-click service path diagnosis.
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