A Fault Diagnosis Support System for Identifying Abnormal Operating Procedures in a Nuclear Power Plant

核能電廠的異常事件診斷輔助系統之建構

謝旻翰(Min-Han Hsieh)

指導教授 ： 黃雪玲

國立清華大學/工學院/工業工程與工程管理學系/碩士(2011年)

https://doi.org/10.6843/NTHU.2011.00620

摘要

為了預防運轉員決策失誤而危及核能電廠安全運轉，本研究目的主要在於建立異常事件診斷輔助系統，簡化運轉員診斷異常狀況之過程，並協助運轉員快速精準地找到相對應的異常操作程序書。同時本研究從人因工程的觀點進行實驗，藉由比較運轉員原始診斷模式與配置本研究發展之異常事件診斷輔助系統診斷模式，進行人員績效與心智負荷的評估，驗證本研究發展之技術是否能夠降低人員心智負荷與提升診斷績效。
首先根據異常操作程序書內容、觀察運轉員處理警報與篩選程序書之流程以及與運轉員和從事核電廠工作之專家們的訪談結果，探討不同異常事件之徵兆的來源類型。接著收集所有與異常事件相關的徵兆，建立篩選異常操作程序書機制，並建立異常事件診斷輔助系統。此外，設計一模擬實驗，藉由比較原始診斷模式與配置異常事件輔助系統診斷模式之受試者決策時間、作業績效、心智負荷，衡量人員績效提昇以及負荷降低之程度。
研究結果顯示，使用異常事件診斷輔助系統，且顯著提升人員績效，平均決策時間減少約25%，平均正確率上升約18%，發生遺漏失誤顯著下降，心智負荷顯著低於未配置輔助系統之模式。因此，研究建議可以應用異常事件診斷輔助系統於主控室以幫助人員尋找相對應的異常操作程序書。不僅爭取更多時間給運轉員處理警報，且降低人員心理壓力，減少錯誤決策而導致異常事件惡化的情況發生。

關鍵字

核能電廠 ； 人因工程 ； 錯誤診斷 ； 運轉員輔助系統

並列摘要

In order to prevent safety hazards that can result from inappropriate decisions made by the operators of a nuclear power plant (NPP), this study was undertaken to develop a fault diagnosis support system to reduce the complexity of the decision-making process by aiding operators’ cognitive activities, integrating unusual symptoms, and identifying the most suitable abnormal operating procedure (AOP) for operators. The study was conducted from the perspective of human factors engineering in order to compare the process that operators originally used to diagnose potential and actual faults with a process that included a support system for diagnosing faults.
First of all, based on interview, procedures studies and observations, the different kinds of symptom source related to the AOPs were discussed. Next, the unusual symptoms were collected and the rule of identification was constructed, which formed the fault diagnosis support system. Afterwards, an experiment was conducted to verify system effectiveness and reduction of workload by computing decision time, the number of errors and NASA TLX task load index.
The results of the study indicated that the existence of a support system for fault diagnosis makes the task of fault diagnosis easier and reduces errors by quickly suggesting likely AOPs. With such a support system in place, there were clear improvements in human performance, i.e., decision-making time decreased by about 25%, and the accuracy of the operators’ decisions, judged by the successful resolution of specific problems, increased by about 18%. In addition, there were fewer erroneous solutions implemented, and the mental workload was reduced. Hence, it is recommended that the fault diagnosis support system be applied in identifying the AOPs in the main control room (MCR).

並列關鍵字

Nuclear power plant ； Human factor ； Fault identification ； Operator support system

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