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This paper is about fault diagnosis rules. Firstly, a redundancy-based rule model is presented, compared with the reduced rule model without redundancy by Rough Set Theory (RST). This model has a robusticity to resist the data loss by sensor failure, as well as the inaccuracy data by sensor error. Furthermore, considering the constraint of fault diagnosis cost, a dynamic optimization method on the...
This paper addresses the effectiveness of proof tests that are performed on safety instrumented functions (SIF) to reveal any failures undetected by automatic diagnostics. The paper focuses on low demand mode applications where an achieved safety integrity level (SIL) is determined by a SIF's average probability of failure on demand (PFDavg). Functional safety standards [1, 2], which require periodic...
A failure modes and effects analysis is a methodology for analysis of potential failure modes within a system which includes the classification of the failure modes severity and impact on the system. Most organizations stop at the completion of the FMEA and assume that the work is done and a solid design will now be created. It is not always the case. There is a significant amount of work that needs...
This paper reports on our successful efforts to validate statistically certain constant failure rate data in a mechanical component constant failure rate and failure mode database. To accomplish this, we use a Failure Modes, Effects, and Diagnostic Analysis (FMEDA) to predict the constant failure rate, lambdaD, for the fail-to-open condition of a particular series of pressure relief valves (PRV) using...
In this paper, both fault detection and correction processes are considered in software reliability growth modeling. The dependency of the two processes is first studied from the viewpoint of the fault number in two ways. One is the ratio of corrected fault number to detected fault number, which appears S-shaped. And the other is the difference between the detected fault number and corrected fault...
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