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^*

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University
Beijing Aerospace Automatic Control Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	620-627
Number of pages	8
ISBN (Electronic)	9798350382426
DOIs	https://doi.org/10.1109/IC2ECS60824.2023.10493323
State	Published - 2023
Event	3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 - Hybrid, Hangzhou, China Duration: 29 Dec 2023 → 31 Dec 2023

Publication series

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

Conference

Conference	3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023
Country/Territory	China
City	Hybrid, Hangzhou
Period	29/12/23 → 31/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Directed acyclic graph
Health management
Health status
improved Mahalanobis-Taguchi system

Access to Document

10.1109/IC2ECS60824.2023.10493323

Cite this

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. In 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023 (pp. 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 et al. / 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. pp. 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. in 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., pp. 620-627, 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023, Hybrid, Hangzhou, China, 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 et al.
2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 620-627 (2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 et al. A Health Assessment Method Based on Directed Acyclic Graph and Improved Mahalanobis- Taguchi System. In 2023 3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 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

Abstract

Publication series

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UN SDGs

Keywords

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