Comparison of Model-Based Diagnosis Methods: Testability Modeling &amp; Rodon

Shi, Junyou; Fan, Chuxuan

doi:10.1109/rams.2019.8769280

Cited by 2 publications

(1 citation statement)

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“…Gould [17] proposed a hybrid diagnostic model, which is an extension of diagnostic dependency modeling that allows the inter-relationships between a system or device's tests, functions and failure modes to be captured in a single representation. Shi [18] provided a detailed analysis and summary of the diagnosis model generation rules of Rodon. In the testability analysis of the above models, it is considered that the system has only two states: perfect and fault.…”

Section: Introductionmentioning

confidence: 99%

Testability Modeling and Test Point Optimization Method of Multi-State System

Wang

2020

IEEE Access

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Existing testability models are difficult to describe the multi-state characteristics of the system, so it is necessary to study the testability modeling method applicable to multi-state systems. A testability model with structure and function as the object is established in this paper. In order to describe the relationship between system state and test, the calculation method of the detectable state set of the test set is introduced. In order to quantitatively describe the testability of the system state, the concept of state detection rate is proposed for the first time. A test point optimization method that comprehensively considers the system fault detection rate, fault isolation rate, and state detection rate under the constraints of test cost is proposed. A numerical example shows that the best test set obtained by this method cannot only complete the system fault detection and isolation, but also obtain more system state.

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Section: Introductionmentioning

confidence: 99%