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Development of an expert system for abnormal operating procedures in a main control room
Min-Han Hsieh1, Sheue-Ling Hwang, Kang-Hong Liu
1Institute of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu 300, Taiwan.
Work (Reading, Mass.)
|February 10, 2012
Summary
An expert system for fault diagnosis simplifies operator tasks and reduces errors by suggesting Abnormal Operating Procedures (AOPs). This human factors engineering approach enhances diagnostic efficiency and accuracy in complex systems.
Area of Science:
- Human Factors Engineering
- Cognitive Systems Engineering
- Industrial Safety
Background:
- Operator performance in fault diagnosis is critical for system safety and efficiency.
- Traditional fault diagnosis methods can be complex and prone to human error.
- The integration of intelligent systems offers potential improvements in diagnostic tasks.
Purpose of the Study:
- To compare operator-led fault diagnosis with a system-enhanced approach.
- To evaluate the impact of an expert system on diagnostic accuracy and efficiency.
- To assess the role of human factors in the implementation of diagnostic support systems.
Main Methods:
- Comparative analysis of two fault diagnosis processes: traditional vs. expert system-assisted.
- Human factors engineering principles were applied to study operator interaction.
- Data collection focused on diagnostic time, error rates, and procedural adherence.
Main Results:
- The expert system significantly reduced the time required for fault diagnosis.
- Implementation of the expert system led to a notable decrease in diagnostic errors.
- Operators found the expert system intuitive, aiding in the identification of Abnormal Operating Procedures (AOPs).
Conclusions:
- Expert systems enhance the fault diagnosis process by simplifying tasks and reducing errors.
- Human factors engineering confirms the benefits of intelligent decision support for operators.
- Integrating expert systems is a viable strategy for improving operational safety and performance.
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