Application of a Web-Based Identification System for Corrosion Failure Mode and Causes

Song, Guangxiong

doi:10.3901/jme.2005.02.182

Cited by 3 publications

(2 citation statements)

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“…The case meets the retain strategy and can be added into the case base. For the situation of partly 130 Advances in Abrasive Technology XIII overlap and mostly overlap Guangxiong Song set an overlapping parameter s through the formula (7) [10].…”

Section: Wavinessmentioning

confidence: 99%

Application of a Case-Based Process Expert System for NC Camshaft Grinding

Deng

Cao

Zhang

et al. 2010

AMR

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In order to solve the problem that selecting process parameters is difficult and inefficient in NC camshaft grinding, a case-based process expert system is presented, which takes frame method to present cases and utilizes case-based reasoning as the core mechanism of system. One of the typical cases of NC camshaft grinding which are stored in the case base of expert system is composed of three parts including description, solution and evaluation. The expert system generates a new case description according to the characteristics of camshaft to be processed, then forms an evaluation parameter from the similarity and the confidence. In the end, process intelligent matching is obtained by applying the system.

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Section: Wavinessmentioning

confidence: 99%

Application of a Case-Based Process Expert System for NC Camshaft Grinding

Deng

Cao

Zhang

et al. 2010

AMR

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“…To meet the needs given above, the dual factor method presents knowledge in the following form [15].…”

Section: Fault Diagnostic Knowledge Presentationmentioning

confidence: 99%

A Steam Turbine Fault Diagnostic System Based on the Web and Database Technologies

Song

et al. 2009

KEM

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The steam turbine is the principal mover in the field of electric power generation. It is very important and necessary to monitor and evaluate the running conditions and diagnose the faults of the steam turbine for the safe and normal running of the electric power plant. Fault diagnosis of the steam turbine is a complicated process and requires high level of the expertise. In order to significantly reduce the cost consumed in the fault diagnosis, increase the consistency of diagnosing decision-making, and better utilize the turbine’s management information resource, in this paper, an integrated Web-based expert system of the fault diagnosis for general purpose has been developed for the steam turbine of a power station. Moreover, it can be regarded as an advisory tool to those field engineers having much technical experience and as a training tool to less-experienced personnel who need guidance and advice. This paper describes a research project aiming to develop a web-based intelligent diagnostic system for the steam turbine, and discusses the process of the fault diagnosis and the issues involved in developing the system. The paper also includes several practical issues related to the architectures of the intelligent web-based applications. The system is built on a three-tier architecture, including the following components: knowledge base, inference engine, knowledge administration interface, user interface, knowledge administration, and integrated database. The diagnostic system employs heuristic rules to diagnose the steam turbine faults.

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Notice of Retraction: Applications of fuzzy judgment in analysis of materials

Wang

Shi

2010

2010 Sixth International Conference on Natural Computation

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Failure cases play an important role in failure analysis. This paper will focus on how to determine the failure mode of the new failure cases from some existed failure cases. First, the fuzzy relationship matrix of each failure mode and unexpected appearance information can be obtained from the large amount of failure cases have been collected. Secondly, the comprehensive evaluation for the new failure cases can be basically evaluated ， the evaluation results corresponding to various failure modes can be calculated. Thirdly, the most probable failure modes will be determined through comparison with the threshold. But if more than one probably failure modes existed, Euclidean algorithm will be used to calculate the relative Euclidean distances of the new failure case to each probably failure modes obtained from above. The failure mode to which the new case belongs can be determined through above several steps.

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Application of a Web-Based Identification System for Corrosion Failure Mode and Causes

Cited by 3 publications

References 0 publications

Application of a Case-Based Process Expert System for NC Camshaft Grinding

Application of a Case-Based Process Expert System for NC Camshaft Grinding

A Steam Turbine Fault Diagnostic System Based on the Web and Database Technologies

Notice of Retraction: Applications of fuzzy judgment in analysis of materials

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