Fault Detection and Diagnosis Based on Qualitative Simulation

Abstract:

Engineering technology system's complexity cause a series of system problems, this is without a doubt the contemporary control engineering field important challenges. In order to deal with this kind of challenge, appear a series of system fault detection and diagnosis technology, including qualitative simulation technology is one of the important technical one. Through the Qualitative Simulation theory QSIM (Qualitative Simulation) related theory analysis and of the technology in fault detection field operation of the process of research, analysis found that the technology in the field of FDD advantages and disadvantages, in view of the existing shortage, it gives a fuzzy set theory and similarity principle on the make, theoretically perfect this model, and the detection and diagnosis research form an effective guidance.

• Periodical: Advanced Materials Research (Volumes 821-822)
• Pages: 1499-1504
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.821-822.1499
• Online since: September 2013
• Authors: Lei Lei Deng*, Xian Zhang
• Keywords: Fault Detection Technology, Fuzzy Space, Qualitative Simulation Techniques, Similarity Theory

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