Case based Reasoning in the Plenary Diagnostic Environment

Scully, J.K.

doi:10.1109/autest.2006.283734

2006 IEEE Autotestcon

2006

DOI: 10.1109/autest.2006.283734

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Case based Reasoning in the Plenary Diagnostic Environment

J.K. Scully

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Cited by 4 publications

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Analyzing Automated Maintenance architectures to provide flexible smart maintenance capabilities

Kirkos

Meseroll

Edwards

et al. 2008

2008 Ieee Autotestcon

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The computing architecture of an Automated Maintenance Environment (AME) can foster or stunt the ability to employ smart maintenance practices. With software decision support technologies becoming more readily available, there is ample opportunity for diagnostic enhancement within AME's. Data analysis practices and informed decision support are enabled by an enhanced technical infrastructure, which includes data accessibility, common data formats, and sufficient computational capacity. This paper will explain the results of the IDATS team's efforts in creating a lab architecture to facilitate diagnostic analysis and how it further applies in a functioning smart AME. Additionally, the paper will address the computing and decision support software requirements needed to perform efficient maintenance practices within the US Navy, as well as provide an analysis of the strengths and shortcomings of existing Navy AME architectures. Potential change-points or limitations resulting from the existing AME architecture will be identified. This analysis will recognize common data points within the AME that can be improved or augmented to benefit multiple aircraft platforms with the capability of enhanced common diagnostic techniques. The steps toward realizing a common, flexible maintenance capability were investigated by analyzing the structure of all current and indevelopment Navy aircraft AMEs, including the data storage format, the movement of data, and the network infrastructure. A common Navy AME architecture will facilitate timely insertion of new and enhanced diagnostic techniques as they are developed, providing the fleet with intelligent support equipment at the flight line.

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Analyzing Automated Maintenance architectures to provide flexible smart maintenance capabilities

Kirkos

Meseroll

Edwards

et al. 2008

2008 Ieee Autotestcon

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show abstract

TPS rehost efficiency improvement considerations

Hilberth¹

2012

2012 IEEE AUTOTESTCON Proceedings

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Condition monitoring and plenary diagnostics strategy based on event driven threads

Wenjun¹,

Feng²,

Zhou³

et al. 2008

2008 International Conference on Condition Monitoring and Diagnosis

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Condition monitoring and fault diagnosis is the groundwork of condition-based maintenance, and much research has been done about diagnostic algorithm and monitoring manufactures, but less research about diagnostics strategy and management. Plenary diagnostics based on event driven threads of data propagated through successive diagnostic levels is an improving attempt about it. In this approach, abnormities are firstly detected or isolated in operational level. Then the anomalous event data is transmitted from low diagnostic level to higher levels, collected and centrally analyzed and finally fed back as diagnostic updates to improve diagnosis modules. This paper describes the diagnostic data flow and the management strategy of plenary diagnostics, and the difference between which and conventional diagnostics strategy. Finally, an example about power equipments fault diagnosis is given.Index Terms--abnormity, condition monitoring event driven threads, fault, field level, intermediate level, logistics data system (LDS), operational level, plenary diagnostics power equipments

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Case based Reasoning in the Plenary Diagnostic Environment

Cited by 4 publications

References 6 publications

Analyzing Automated Maintenance architectures to provide flexible smart maintenance capabilities

Analyzing Automated Maintenance architectures to provide flexible smart maintenance capabilities

TPS rehost efficiency improvement considerations

Condition monitoring and plenary diagnostics strategy based on event driven threads

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