An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method
Advancements in the nuclear industry have led to the development of fully digitized main control rooms (MCRs)—often termed advanced MCRs—for newly built nuclear power plants (NPPs). Diagnosis is a major part of the cognitive activity in NPP MCRs. Advanced MCRs are expected to improve the working env...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/13/3832 |
| _version_ | 1797528732030730240 |
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| author | Awwal Mohammed Arigi Gayoung Park Jonghyun Kim |
| author_facet | Awwal Mohammed Arigi Gayoung Park Jonghyun Kim |
| author_sort | Awwal Mohammed Arigi |
| collection | DOAJ |
| description | Advancements in the nuclear industry have led to the development of fully digitized main control rooms (MCRs)—often termed advanced MCRs—for newly built nuclear power plants (NPPs). Diagnosis is a major part of the cognitive activity in NPP MCRs. Advanced MCRs are expected to improve the working environment and reduce human error, especially during the diagnosis of unexpected scenarios. However, with the introduction of new types of tasks and errors by digital MCRs, a new method to analyze the diagnosis errors in these new types of MCRs is required. Task analysis for operator diagnosis in an advanced MCR based on emergency operation was performed to determine the error modes. The cause-based decision tree (CBDT) method—originally developed for analog control rooms—was then revised to a modified CBDT (MCBDT) based on the error mode categorizations. This work examines the possible adoption of the MCBDT method for the evaluation of diagnosis errors in advanced MCRs. We have also provided examples of the application of the proposed method to some common human failure events in emergency operations. The results show that with some modifications of the CBDT method, the human reliability in advanced MCRs can be reasonably estimated. |
| first_indexed | 2024-03-10T10:03:35Z |
| format | Article |
| id | doaj.art-6d2319e149ec4bbcb0a3c13e8a6c73e3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T10:03:35Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-6d2319e149ec4bbcb0a3c13e8a6c73e32023-11-22T01:44:56ZengMDPI AGEnergies1996-10732021-06-011413383210.3390/en14133832An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree MethodAwwal Mohammed Arigi0Gayoung Park1Jonghyun Kim2Department of Nuclear Engineering, Chosun University, Gwangju 61452, KoreaDepartment of Nuclear Engineering, Chosun University, Gwangju 61452, KoreaDepartment of Nuclear Engineering, Chosun University, Gwangju 61452, KoreaAdvancements in the nuclear industry have led to the development of fully digitized main control rooms (MCRs)—often termed advanced MCRs—for newly built nuclear power plants (NPPs). Diagnosis is a major part of the cognitive activity in NPP MCRs. Advanced MCRs are expected to improve the working environment and reduce human error, especially during the diagnosis of unexpected scenarios. However, with the introduction of new types of tasks and errors by digital MCRs, a new method to analyze the diagnosis errors in these new types of MCRs is required. Task analysis for operator diagnosis in an advanced MCR based on emergency operation was performed to determine the error modes. The cause-based decision tree (CBDT) method—originally developed for analog control rooms—was then revised to a modified CBDT (MCBDT) based on the error mode categorizations. This work examines the possible adoption of the MCBDT method for the evaluation of diagnosis errors in advanced MCRs. We have also provided examples of the application of the proposed method to some common human failure events in emergency operations. The results show that with some modifications of the CBDT method, the human reliability in advanced MCRs can be reasonably estimated.https://www.mdpi.com/1996-1073/14/13/3832advanced MCRhuman failure eventCBDThuman reliabilitydiagnosiscontrol room |
| spellingShingle | Awwal Mohammed Arigi Gayoung Park Jonghyun Kim An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method Energies advanced MCR human failure event CBDT human reliability diagnosis control room |
| title | An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method |
| title_full | An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method |
| title_fullStr | An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method |
| title_full_unstemmed | An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method |
| title_short | An Approach to Analyze Diagnosis Errors in Advanced Main Control Room Operations Using the Cause-Based Decision Tree Method |
| title_sort | approach to analyze diagnosis errors in advanced main control room operations using the cause based decision tree method |
| topic | advanced MCR human failure event CBDT human reliability diagnosis control room |
| url | https://www.mdpi.com/1996-1073/14/13/3832 |
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