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Wind power is one of the most important sources of renewable energy. A large part of the wind energy cost is due to the cost of maintaining the wind power equipment. To further reduce the maintenance cost, one can improve the design of the…

Optimization and Control · Mathematics 2021-05-04 Quanjiang Yu , Ola Carlson , Serik Sagitov

We consider the single machine scheduling problem with job-dependent machine deterioration. In the problem, we are given a single machine with an initial non-negative maintenance level, and a set of jobs each with a non-preemptive…

Data Structures and Algorithms · Computer Science 2017-02-23 Wenchang Luo , Yao Xu , Weitian Tong , Guohui Lin

We present a numerical method to compute the optimal maintenance time for a complex dynamic system applied to an example of maintenance of a metallic structure subject to corrosion. An arbitrarily early intervention may be uselessly costly,…

Probability · Mathematics 2015-03-17 Benoîte de Saporta , François Dufour , Huilong Zhang , Charles Elegbede

This paper studies maintenance optimization for a two-component system under mixed observability. Component~$U_1$ is fully monitored, whereas component~$U_2$ is only partially observable due to sensing limitations. The system exhibits…

Optimization and Control · Mathematics 2026-03-05 Nan Zhang , Inmaculada T. Castro , M. L. Gamiz

In this research, computerized maintenance management will be investigated. The rise of maintenance cost forced the research community to look for more effective ways to schedule maintenance operations. Using computerized models to come up…

Neural and Evolutionary Computing · Computer Science 2016-01-18 Mostafa Sayyed

Accelerated degradation tests are used to provide accurate estimation of lifetime characteristics of highly reliable products within a relatively short testing time. Data from particular tests at high levels of stress (e.g., temperature,…

Applications · Statistics 2021-06-07 Helmi Shat , Rainer Schwabe

Successful modeling of degradation performance data is essential for accurate reliability assessment and failure predictions of highly reliable product units. The degradation performance measurements over time are highly heterogeneous. Such…

Applications · Statistics 2021-08-17 Xuxue Sun , Wenjun Cai , Qiong Zhang , Mingyang Li

In many real-life scenarios, system failure depends on dynamic stress-strength interference, where strength degrades and stress accumulates concurrently over time. In this paper, we consider the problem of finding an optimal replacement…

Applications · Statistics 2022-01-04 Phalguni Nanda , Prajamitra Bhuyan , Anup Dewanji

We define a model of a system that deteriorate as a result of (i) shocks, modeled as a compound Poisson process and (ii) deterministic, state dependent progressive rate, with variable and fixed maintenance cost. We define maintenance…

Optimization and Control · Mathematics 2015-06-04 Mauricio Junca

We propose a method, a model, and a form of presenting model results for condition monitoring of a small set of wind turbines with rare failures. The main new ingredient of the method is to sample failure thresholds according to the profit…

Systems and Control · Electrical Eng. & Systems 2025-01-14 Viktor Begun , Ulrich Schlickewei

Condition-based maintenance (CBM) is an effective maintenance strategy to improve system performance while lowering operating and maintenance costs. Real-world systems typically consist of a large number of components with various…

Optimization and Control · Mathematics 2020-03-16 Zhicheng Zhu , Yisha Xiang

We study a system that experiences damaging external shocks at stochastic intervals, continuous degradation, and self-healing. The motivation for such a system comes from real-life applications based on micro-electro-mechanical systems…

Methodology · Statistics 2024-02-20 Debolina Chatterjee , Jyotirmoy Sarkar

We study the optimal control of battery energy storage under a general "pay-for-performance" setup such as providing frequency regulation and renewable integration. In these settings, batteries need to carefully balance the trade-off…

Optimization and Control · Mathematics 2018-07-31 Yuanyuan Shi , Bolun Xu , Yushi Tan , Daniel Kirschen , Baosen Zhang

In this paper a multi-component system is studied where each component can be repaired within the system. We consider that each component is subject to two dependent competing failure processes due to degradation and random shocks and each…

Dynamical Systems · Mathematics 2019-03-05 Nooshin Yousefi , David W. Coit

A complex multi-state redundant system undergoing preventive maintenance and experiencing multiple events is being considered in a continuous time frame. The online unit is susceptible to various types of failures, both internal and…

Methodology · Statistics 2025-01-13 Juan Eloy Ruiz-Castro , Hugo Alaín Zapata-Ceballos

A complex multi-state redundant system with preventive maintenance subject to multiple events is considered. The online unit can undergo several types of failures: internal and those provoked by external shocks. Multiple degradation levels…

Systems and Control · Electrical Eng. & Systems 2025-01-22 Juan Eloy Ruiz-Castro

Today, a competitive manufacturing environment imposes further production cost reduction on modern companies. Seeking proper recommendations in production and maintenance planning are the two essential cornerstones of effective production…

Signal Processing · Electrical Eng. & Systems 2020-12-24 Mohammad Arani , Mousaalreza Dastmard , Zhila Dehdari Ebrahimi , Mohsen Momenitabar , Xian Liu

Condition-Based Maintenance is pivotal in enabling the early detection of potential failures in engineering systems, where precise prediction of the Remaining Useful Life is essential for effective maintenance and operation. However, a…

Machine Learning · Computer Science 2024-06-21 Miguel Fernandes , Catarina Silva , Alberto Cardoso , Bernardete Ribeiro

Predictive maintenance (PdM) has become a crucial element of modern industrial practice. PdM plays a significant role in operational dependability and cost management by decreasing unforeseen downtime and optimizing asset life cycle…

Machine Learning · Computer Science 2025-06-26 Ainaz Jamshidi , Dongchan Kim , Muhammad Arif

Predictive Maintenance (PdM) can only be implemented when the online knowledge of system condition is available, and this has become available with deployment of on-equipment sensors. To date, most studies on predicting the remaining useful…

Systems and Control · Computer Science 2020-03-25 Dongjin Lee , Rong Pan