Real-time simulation for fault detection and diagnosis using stochastic qualitative reasoning

• Published in: IEEE International Conference on Emerging Technologies and Factory Automation 2001 pp. 391 - 398 vol.1
• Main Authors: Miyasaka, F., Yamasaki, T., Yumoto, M., Ohkawa, T., Komoda, N.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2001
• Subjects: Air conditioning; Data engineering; Electrical fault detection; Fault detection; Fault diagnosis; Instruments; Stochastic processes; Stochastic systems; Switches; Temperature sensors
• ISBN: 0780372417; 9780780372412
• DOI: 10.1109/ETFA.2001.996393

Qualitative reasoning is one of the fault detection and diagnosis methods and is an effective way for complex systems. Especially, in the stochastic qualitative reasoning, the probabilistic process is used for state transition of the qualitative models with probabilities. In the paper, the stochastic qualitative reasoning is applied to a modelling method of the human qualitative thinking process based on the instrumentation diagram and the control information in building air conditioning systems. However, several subjects remain to be solved for practical uses. The paper proposes real-time simulation using stochastic qualitative reasoning as a way of practical uses for fault detection and diagnosis of a VAV (variable air volume) system of air conditioning systems.