| Guo chen(郭晨）,Liang Jiarong,Leng Ming,Peng Shuo.[J].高技术通讯(英文),2017,23(4):384~389 |
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| A novel conditional diagnosability algorithm under the PMC model |
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| DOI：10.3772/j.issn.1006-6748.2017.04.006 |
| 中文关键词: |
| 英文关键词: the PMC ( Preparata，Metze，and Chien) model，conditionally t-diagnosable，conditional diagnosability，conditional diagnosability algorithm |
| 基金项目: |
| Author Name | Affiliation | | Guo chen(郭晨） | | | Liang Jiarong | | | Leng Ming | | | Peng Shuo | |
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| 中文摘要: |
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| 英文摘要: |
| Conditionally t-diagnosable and t-diagnosable are important in system level diagnosis.There-fore, it is valuable to identify whether the system is conditionally t-diagnosable or t-diagnosable and derive the corresponding conditional diagnosability and diagnosability.In the paper, distinguishable measures of pairs of distinct faulty sets with a new perspective on establishing functions are focused. Applying distinguishable function and decision function, it is determined whether a system is condi-tionally t-diagnosable ( or t-diagnosable ) or not under the PMC ( Preparata, Metze, and Chien ) model directly.Based on the decision function, a novel conditional diagnosability algorithm under the PMC model is introduced which can calculate conditional diagnosability rapidly. |
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