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15 results on '"XIANG Huachun"'

1. Reliability system engineering capability evaluation of equipment contractor based on combination weighting cloud model

Author

Chen, Hao, Xiang, Huachun, Ou, Chunfeng, Luo, Binghai, Yao, Zhitong, Zheng, Zheng, Editor-in-Chief, Xi, Zhiyu, Associate Editor, Gong, Siqian, Series Editor, Hong, Wei-Chiang, Series Editor, Mellal, Mohamed Arezki, Series Editor, Narayanan, Ramadas, Series Editor, Nguyen, Quang Ngoc, Series Editor, Ong, Hwai Chyuan, Series Editor, Sun, Zaicheng, Series Editor, Ullah, Sharif, Series Editor, Wu, Junwei, Series Editor, Zhang, Baochang, Series Editor, Zhang, Wei, Series Editor, Zhu, Quanxin, Series Editor, Zheng, Wei, Series Editor, Rauf, Abdul, editor, Zakuan, Norhayati, editor, Sohail, Muhammad Tayyab, editor, and Azmi, Ruzita, editor

Published
2024
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3. Evaluation of Spare Parts Support Capacity of Civil Aircrafts Based on Type-2 Hesitant Pythagorean Fuzzy Sets and Improved Technique for Order Preference by Similarity to Ideal Solution.

Author

You, Liang, Wang, Lili, Lv, Xiaofan, Xiang, Huachun, and Wang, Zheng

Subjects
SPARE parts, FUZZY sets, TOPSIS method, CAPACITY (Law), EVALUATION methodology
Abstract

To improve the spare parts support capacity of civil aircrafts and given the actual lack of evaluation methods at present, the evaluation problem of spare parts support capacity was solved in this study by proposing a multi-attribute decision method based on Type-2 hesitant Pythagorean fuzzy sets and an improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). First, the basic definitions of Type-2 hesitant Pythagorean fuzzy sets were given, which were further promoted to Type-n hesitant Pythagorean fuzzy sets, and the basic order relation criterion of Type-2 hesitant Pythagorean fuzzy sets was introduced. Second, a complete evaluation system for spare parts supply support capacity was established with the spare parts of civil aircrafts as the study objects, and each evaluation indicator was introduced in detail. Then, the spare parts support solutions were preferentially sorted using the correlation coefficient formula of Type-2 hesitant Pythagorean fuzzy sets and improved TOPSIS. Finally, the reliability and reasonability of the proposed method were verified through an example calculation and comparative analysis. The experimental results indicate that the proposed method can acquire the evaluation results of spare parts support capacity more scientifically and can be referenced by relevant studies. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Remaining lifetime prediction for nonlinear degradation device with random effect

Author

Chen Yunxiang, Cai Zhongyi, Xiang Huachun, Zhang Qiang, and Guo Jiansheng

Subjects
Nonlinear system, State-space representation, Estimation theory, Hitting time, Value (computer science), Probability density function, Random effects model, Algorithm, Degradation (telecommunications), Mathematics
Abstract

For the large number of nonlinear degradation devices existing in a project, the existing methods have not systematically studied the effects of random effect on the remaining lifetime (RL), the accuracy and efficiency of the parameters estimation are not high, and the current degradation state of the target device is not accurately estimated. In this paper, a nonlinear Wiener degradation model with random effect is proposed and the corresponding probability density function (PDF) of the first hitting time (FHT) is deduced. A parameter estimation method based on modified expectation maximum (EM) algorithm is proposed to obtain the estimated value of fixed coefficient and the priori value of random coefficient in the model. The posterior value of the random coefficient and the current degradation state of target device are updated synchronously by the state space model (SSM) and the Kalman filter algorithm. The PDF of RL with random effect is deduced. A simulation example is analyzed to verify that the proposed method has the obvious advantage over the existing methods in parameter estimation error and RL prediction accuracy.

Published
2018

13. Evidence combination method in time domain based on reliability and importance

Author

Luo Chengkun, Chen Yunxiang, Wang Zezhou, Xiang Huachun, and Wang Weijia

Subjects
Computer science, 0202 electrical engineering, electronic engineering, information engineering, 020207 software engineering, 020201 artificial intelligence & image processing, 02 engineering and technology, Time domain, Combination method, Reliability (statistics), Reliability engineering
Published
2018

15. Remaining lifetime prediction for nonlinear degradation device with random effect.

Author

CAI Zhongyi, CHEN Yunxiang, GUO Jiansheng, ZHANG Qiang, and XIANG Huachun

Subjects
*RANDOM effects model, *WIENER processes, *PROBABILITY density function, *PARAMETER estimation, *MULTILEVEL models
Abstract

For the large number of nonlinear degradation devices existing in a project, the existing methods have not systematically studied the effects of random effect on the remaining lifetime (RL), the accuracy and efficiency of the parameters estimation are not high, and the current degradation state of the target device is not accurately estimated. In this paper, a nonlinear Wiener degradation model with random effect is proposed and the corresponding probability density function (PDF) of the first hitting time (FHT) is deduced. A parameter estimation method based on modified expectation maximum (EM) algorithm is proposed to obtain the estimated value of fixed coefficient and the priori value of random coefficient in the model. The posterior value of the random coefficient and the current degradation state of target device are updated synchronously by the state space model (SSM) and the Kalman filter algorithm. The PDF of RL with random effect is deduced. A simulation example is analyzed to verify that the proposed method has the obvious advantage over the existing methods in parameter estimation error and RL prediction accuracy. [ABSTRACT FROM AUTHOR]

Published
2018
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