A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System

Gongcheng Zhou; Gang Xiang; Ruishi Lin; Dongpeng Li; Yu Peng; Hongyan Wang; Langfu Cui; Qingzhen Zhang; Liang Li

doi:10.1109/IC2ECS60824.2023.10493323

A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System

Gongcheng Zhou
, Gang Xiang
, Ruishi Lin
, Dongpeng Li
, Yu Peng
, Hongyan Wang
, Langfu Cui
, Qingzhen Zhang
, Liang Li^*

^*此作品的通讯作者

自动化科学与电气工程学院

Beihang University
Beijing Aerospace Automatic Control Institute

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method based on a directed acyclic graph and an improved Mahalanobis- Taguchi system. Firstly, the Mahalanobis distance between samples of different health statuses is calculated by using the Mahalanobis distance system, and the discrimination degree of each sample combination is analyzed and compared. Then, the multi-classification process of equipment health status is constructed by the directed acyclic graph. Next, different feature combinations are formed by the features selected in the orthogonal experiment, and the Mahalanobis- Taguchi system is constructed separately for each combination. After voting, an improved Mahalanobis- Taguchi system used to divide the final health status category is obtained. Finally, the PHM08 data provided by the National Aeronautics and Space Administration of the United States is applied to evaluate the health status of the aero-engine.

源语言	英语
主期刊名	2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
页	620-627
页数	8
ISBN（电子版）	9798350382426
DOI	https://doi.org/10.1109/IC2ECS60824.2023.10493323
出版状态	已出版 - 2023
活动	3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 - Hybrid, Hangzhou, 中国期限: 29 12月 2023 → 31 12月 2023

出版系列

姓名	2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

会议

会议	3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
国家/地区	中国
市	Hybrid, Hangzhou
时期	29/12/23 → 31/12/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/IC2ECS60824.2023.10493323

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhou, G., Xiang, G., Lin, R., Li, D., Peng, Y., Wang, H., Cui, L., Zhang, Q., & Li, L. (2023). A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System. 在 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 (页码 620-627). (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC2ECS60824.2023.10493323

Zhou, Gongcheng ; Xiang, Gang ; Lin, Ruishi 等. / A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System. 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 620-627 (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023).

@inproceedings{709cb9b70af6473abb72fa21f5f5a42f,

title = "A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System",

abstract = "Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method based on a directed acyclic graph and an improved Mahalanobis- Taguchi system. Firstly, the Mahalanobis distance between samples of different health statuses is calculated by using the Mahalanobis distance system, and the discrimination degree of each sample combination is analyzed and compared. Then, the multi-classification process of equipment health status is constructed by the directed acyclic graph. Next, different feature combinations are formed by the features selected in the orthogonal experiment, and the Mahalanobis- Taguchi system is constructed separately for each combination. After voting, an improved Mahalanobis- Taguchi system used to divide the final health status category is obtained. Finally, the PHM08 data provided by the National Aeronautics and Space Administration of the United States is applied to evaluate the health status of the aero-engine.",

keywords = "Directed acyclic graph, Health management, Health status, improved Mahalanobis-Taguchi system",

author = "Gongcheng Zhou and Gang Xiang and Ruishi Lin and Dongpeng Li and Yu Peng and Hongyan Wang and Langfu Cui and Qingzhen Zhang and Liang Li",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 ; Conference date: 29-12-2023 Through 31-12-2023",

year = "2023",

doi = "10.1109/IC2ECS60824.2023.10493323",

language = "英语",

series = "2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "620--627",

booktitle = "2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023",

address = "美国",

}

Zhou, G, Xiang, G, Lin, R, Li, D, Peng, Y, Wang, H, Cui, L, Zhang, Q & Li, L 2023, A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System. 在 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023, Institute of Electrical and Electronics Engineers Inc., 页码 620-627, 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023, Hybrid, Hangzhou, 中国, 29/12/23. https://doi.org/10.1109/IC2ECS60824.2023.10493323

A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System. / Zhou, Gongcheng; Xiang, Gang; Lin, Ruishi 等.
2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. 页码 620-627 (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System

AU - Zhou, Gongcheng

AU - Xiang, Gang

AU - Lin, Ruishi

AU - Li, Dongpeng

AU - Peng, Yu

AU - Wang, Hongyan

AU - Cui, Langfu

AU - Zhang, Qingzhen

AU - Li, Liang

PY - 2023

Y1 - 2023

N2 - Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method based on a directed acyclic graph and an improved Mahalanobis- Taguchi system. Firstly, the Mahalanobis distance between samples of different health statuses is calculated by using the Mahalanobis distance system, and the discrimination degree of each sample combination is analyzed and compared. Then, the multi-classification process of equipment health status is constructed by the directed acyclic graph. Next, different feature combinations are formed by the features selected in the orthogonal experiment, and the Mahalanobis- Taguchi system is constructed separately for each combination. After voting, an improved Mahalanobis- Taguchi system used to divide the final health status category is obtained. Finally, the PHM08 data provided by the National Aeronautics and Space Administration of the United States is applied to evaluate the health status of the aero-engine.

AB - Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method based on a directed acyclic graph and an improved Mahalanobis- Taguchi system. Firstly, the Mahalanobis distance between samples of different health statuses is calculated by using the Mahalanobis distance system, and the discrimination degree of each sample combination is analyzed and compared. Then, the multi-classification process of equipment health status is constructed by the directed acyclic graph. Next, different feature combinations are formed by the features selected in the orthogonal experiment, and the Mahalanobis- Taguchi system is constructed separately for each combination. After voting, an improved Mahalanobis- Taguchi system used to divide the final health status category is obtained. Finally, the PHM08 data provided by the National Aeronautics and Space Administration of the United States is applied to evaluate the health status of the aero-engine.

KW - Directed acyclic graph

KW - Health management

KW - Health status

KW - improved Mahalanobis-Taguchi system

UR - https://www.scopus.com/pages/publications/85191512367

U2 - 10.1109/IC2ECS60824.2023.10493323

DO - 10.1109/IC2ECS60824.2023.10493323

M3 - 会议稿件

AN - SCOPUS:85191512367

T3 - 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

SP - 620

EP - 627

BT - 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

Y2 - 29 December 2023 through 31 December 2023

ER -

Zhou G, Xiang G, Lin R, Li D, Peng Y, Wang H 等. A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System. 在 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. 页码 620-627. (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023). doi: 10.1109/IC2ECS60824.2023.10493323

A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

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引用此