Fuzzy expert system for real-time process condition monitoring and incident prevention

Prognostic modelling options for remaining useful life estimation by industry

“…Trends associated with 'creeping' faults were forecast into the future using fuzzy rules and then subjected to the same analysis as current conditions. A dynamic fuzzy expert system was also proposed for real-time condition monitoring and incident prevention by Feng et al Although it demonstrated the applicability of this approach to prognostics, RUL was not specifically calculated [23].…”

Integrating multimedia and artifical intelligence for pest prediction and aeration control of stored grain bins

“…. ARTIFICIAL INTELLIGENCE SYSTEM Aeration technology requires an inter-disciplinary coope-ration between engineers, entomologists, phytopathologists, food technologists and plant physiologists [8]. The operators of aeration control faced with the tasks of monitoring, control, and diagnosis of the grain temperatures often find it difficult to effectively monitor the process data, analyze current states, detect and diagnose process anomalies, or take appropriate actions to control the processes.…”

“…If the controlling visualization is realized, the condition and effect could be observed, and then the further improvement measures would be taken [6]. Multimedia and artificial intelligence (MM&AI) are two technologies likely to impact the effectiveness and enjoyability of using computer based training system [7,8]. By virtue of multimedia technology, the dynamic data of a complex plant have been the graphical presentation of objects and an efficient running of animation.…”

Artificial intelligence for monitoring and supervisory control of process systems

“…The INTEMOR system had been used to develop many intelligent systems, including an expert process monitoring system which was applied to a pulp bleaching process (Xia and Rao, 1999b), a prototype intelligent operation support system (IOSS) that was implemented on a bleached chemi-thermo-mechanical pulp plant (Xia and Rao 1999c), an intelligent maintenance support system for monitoring and troubleshooting of mining truck conditions (Ursenbach et al, 1994), an integrated distributed intelligent system for on-line monitoring and control of pulp processes Xia, 1994, 1997), an expert system for on-line incident detection and reporting (Erlenbach et al, 1994), an expert system for real-time process condition monitoring and incident prevention of a chemical pulp mill process (Feng et al, 1998), and a knowledge integration system for pulp and paper process operations (Farzadeh et al, 1995). The major weakness of this framework is its lack of scalability.…”