Yao Cheng

University of Hong Kong

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Elsayed A. Elsayed

Rutgers, The State University of New Jersey

Yian Wei

University of Hong Kong

Haitao Liao

University of Arkansas at Fayetteville

Xiaoping Du

Indiana University – Purdue University Indianapolis

Junwei Wang

Northeastern University

Jiancheng Yu

Shenyang Institute of Automation

Prahlad D. Pant

University of Cincinnati

Changxin Zhou

Tianjin Research Institute of Electric Science (China)

Yingjiu Li

Singapore Management University

Wei-Hua Lin

Tsinghua University

Cooperative Institutions

Ateneo de Manila University

Tsinghua University

Chinese Academy of Sciences

Tianjin Research Institute of Electric Science (China)

Beijing Institute of Technology

Huazhong University of Science and Technology

Guilin University of Technology

East China Normal University

Peking University

Changchun Institute of Technology

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PeriodNet: Noise-Robust Fault Diagnosis Method Under Varying Speed Conditions

IEEE Transactions on Neural Networks and Learning Systems (2023)

Ruixian Li Jianguo Wu Yongxiang Li Yao Cheng

Rolling bearings are critical components in modern mechanical systems and have been extensively equipped in various rotating machinery. However, their operating conditions are becoming increasingly complex due to diverse working requirements, dramatically increasing their failure risks. Worse still, the interference of strong background noises and the modulation of varying speed conditions make intelligent fault diagnosis very challenging for conventional methods with limited feature extraction capability. To this end, this study proposes a periodic convolutional neural network (PeriodNet), which is an intelligent end-to-end framework for bearing fault diagnosis. The proposed PeriodNet is constructed by inserting a periodic convolutional module (PeriodConv) before a backbone network. PeriodConv is developed based on the generalized short-time noise resist correlation (GeSTNRC) method, which can effectively capture features from noisy vibration signals collected under varying speed conditions. In PeriodConv, GeSTNRC is extended to the weighted version through deep learning (DL) techniques, whose parameters can be optimized during training. Two open-source datasets collected under constant and varying speed conditions are adopted to assess the proposed method. Case studies demonstrate that PeriodNet has excellent generalizability and is effective under varying speed conditions. Experiments adding noise interference further reveal that PeriodNet is highly robust in noisy environments.

10.1109/tnnls.2023.3274290

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Citations (9)

Comparison of Methods for Allocating Costs of Empty Railcar Movements in a Railcar Pooling System

Transportation Research Record Journal of the Transportation Research Board (2005)

Yao Cheng Wei-Hua Lin

Allocating the cost of empty railcar miles to partners in a railcar pooling system is an important pricing problem in railway management. Recently, the authors of this paper proposed a cost allocation scheme for empty railcar movements based on game theory that explicitly considers the level of participation and contribution from each partner, the costs generated before and after cooperation, and the overall benefit obtained by each partner because of cooperation. This paper compares the performance of the model with three other cost allocation models with respect to fairness, stability, and computational efficiency. The comparison is made with two scenarios adapted from examples documented in the literature. The results indicate that the cost allocation scheme based on game theory outperforms other methods in ensuring fairness and enhancing stability in a coalition. Most remarkably, it yields reasonable results even in situations in which other models behave poorly. Computationally, it is manageable for practical problems.

Pooling

Cost allocation

10.1177/0361198105191600112

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Reliability and Resilience Modeling and Quantification

American Society of Civil Engineers eBooks (2022)

Elsayed A. Elsayed Yao Cheng Xi Chen

This chapter presents the traditional reliability metrics and their applicability, focusing on resilience, one of the extended reliability metrics. A detailed overview of potential multiple hazards and methods of predicting and quantifying them is given. Existing definitions of resilience are reviewed, as well as methods of assessment and quantifications. In the context of robustness and restoration ability, quantifications of resilience are proposed for both nonrepairable and repairable systems under multiple hazards. A detailed discussion of system recovery is included. Specifically, importance measures are recommended to identify components' failures and repairs that have the greatest impact on system performance.

Resilience

Robustness

10.1061/9780784415894.ch2

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Citations (2)

Reliability Modeling and Prediction of Systems With Mixture of Units

IEEE Transactions on Reliability (2015)

Yao Cheng Elsayed A. Elsayed

Traditional reliability analysis and prediction are performed by utilizing observed failure or degradation data of test units or field observations. Reliability testing is usually performed to predict reliability or performed as acceptance testing or reliability demonstration test. Moreover, in many cases, reliability tests are performed repeatedly during the entire life of the system by testing different samples with different characteristics in the system. At the end of each test, available data only show the number and combination of failed units which are then used for reliability estimation and prediction. This paper investigates several effective approaches to obtain expressions for system reliability metrics under different scenarios, considering the mixture characteristics of the units. The proposed approaches apply to general cases when the population size, as well as the mixture of units, increase over time. A simulation model is utilized to validate the proposed models.

Reliability theory

10.1109/tr.2015.2503340

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Citations (17)

Reliability Modeling and Testing of One‐Shot Units

Wiley Encyclopedia of Electrical and Electronics Engineering (2019)

Elsayed A. Elsayed Yao Cheng

Abstract One‐shot units such as auto airbags and fire extinguishers are widely used in our daily lives. They perform their desired function only once and typically experience long‐term storage or standby status before use. Another example of one‐shot units is missiles, which could be stored for decades until there is a military need. When one‐shot units are not deployed for a long period, they are subjected to failure and/or degradation as a function of time. Accordingly, it is critical to assess one‐shot units' reliability metrics during their idle period in order to guarantee their performance when deployed. In this article, we provide an overview of one‐shot units, their applications, and methods of assessing their reliability metrics under long storage period. We demonstrate that performing repeated reliability tests is an effective approach to improve storage and operational reliability metrics of one‐shot units.

One shot

10.1002/047134608x.w8391

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Planning and Design of a Micro energy network for seawater desalination and regional energy interconnection

Global Energy Interconnection (2019)

Jiancheng Yu Dan Wang Yao Cheng Peiyu Chen Bo Liu

With the rapid development of the economy, the continuously increasing population, and ongoing climate change, the shortage of freshwater resources has become an increasingly important global problem. Seawater desalination technology can effectively alleviate the pressure on freshwater supplies and has been investigated in many countries. However, the majority of existing projects focus on the research and development of desalination equipment and the use of new technologies and pay less attention to the operation optimization of the desalination process. The micro energy network (MEN) designed in this study is an efficient distributed energy supply system that can be used to simultaneously supply electricity, cooling, heating, and freshwater as photovoltaic power, wind power, combined heat and power (CHP), electric cooling and heating, and a seawater desalination device are integrated into the MEN. In this study, a model for operation optimization of a MEN for seawater desalination was developed and the influences of the electric cooling and heating ratios and the operation optimization of the seawater desalination device were studied with the aim of minimizing the life cycle cost. Based on the results of this study, MENs can reduce the operation cost of desalination devices and improve the efficiency of renewable energy sources.

Geothermal desalination

10.1016/j.gloei.2019.07.015

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Citations (11)

Optimal degradation-based hybrid double-stage acceptance sampling plan for a heterogeneous product

Reliability Engineering & System Safety (2021)

Yao Cheng Haitao Liao Zhiyi Huang

Acceptance sampling

10.1016/j.ress.2021.107544

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Citations (8)

Effect of Dependent Interval Distribution Parameters on Reliability Prediction

Yao Cheng Xiaoping Du

Distributions of input variables of a limit-state function are required for reliability analysis. The distribution parameters are commonly estimated using samples. If some of the samples are in the form of intervals, the estimated distribution parameters will also be given in intervals. Traditional reliability methodologies assume that interval distribution parameters are independent, but as shown in this study, the parameters are actually dependent since they are estimated from the same set of samples. This study investigates the effect of the dependence of distribution parameters on the accuracy of reliability analysis results. The major approach is numerical simulation and optimization. This study indicates that the independent distribution parameter assumption makes the estimated reliability bounds wider than the true bounds due to interval samples. The reason is that the actual combination of the distribution parameters may not include the entire box-type domain assumed by the independent interval parameter assumption. The results of this study not only reveal the cause of the inaccuracy of the independent distribution parameter assumption, but also demonstrate a need of developing new reliability methods to accommodate dependent distribution parameters.

10.1115/detc2017-67280

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Citations (1)

A new fault location algorithm for EHVAC mixed cable-overhead line based on fault zone identification

Yao Cheng Y. L. Li B. T. Li Hai Jin Yi Yufeng Hu

A new fault location algorithm for EHVAC mixed cable-overhead line based on fault zone identification is proposed. When the failure happened, first, according to the uniform transmission line equations, taking cable-overhead line connection point as reference, this article puts forward the fault zone identification method; then, deducts fault point positioning functions in different sections and gets the accuracy position of the fault point by searching or calculating method; finally, conducts quantitative analysis for the influence factors of the algorithm accuracy and conclusions are given. The algorithm uses two-terminal synchronous data, fast calculation speed and high precision, not affected by the failure transition resistance. Simulation shows that this method has a high reliability.

Line (geometry)

Identification

Position (finance)

10.1109/isgt-asia.2012.6303384

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Citations (11)

Systems resilience assessments: a review, framework and metrics

International Journal of Production Research (2021)

Yao Cheng Elsayed A. Elsayed Zhiyi Huang

The past several decades have witnessed an increasing number of natural and manmade hazards with a dramatic impact on the normal operations of the society. The occurrences of these hazards manifest a growing trend of uncertainty. Assessing the performance of systems under such hazards is a salient concern of researchers and practitioners. The notion of 'resilience' has been proposed and popularised to characterise system performance deterioration and restoration due to different hazards and threats. Substantial effort has been devoted to quantify and describe resilience from different perspectives. However, there is no generic metric for assessing the resilience of different systems under different hazards. This paper provides a review of existing approaches that quantitatively assess resilience, along with their applicable scenarios and limitations. New general and generic resilience metrics for systems with multimodal performance are proposed. Opportunities for multi-hazard resilience modelling and enhancements are presented.

Resilience

Natural hazard

10.1080/00207543.2021.1971789

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Citations (74)