Optimization of high-level preventive maintenance scheduling for high-speed trains

Lin, Boliang; Wu, Jianping; Lin, Ruixi; Wang, Jiaxi; Wang, Hui; Zhang, Xuhui

doi:10.1016/j.ress.2018.11.028

Cited by 81 publications

(37 citation statements)

References 27 publications

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“…The network includes 17 substations, 26 transmission lines, and 99 CBs. In Table 2, values of M x , P x , E x , T x , and S x of CBs are determined in accordance with (5), (7), (9), (11), and (13), respectively. In addition, based on (3), (4), (6), (8), and (10), the rates of the four failure types of CBs are calculated.…”

Section: The Statistical Study Of Cb Failures In the Krecmentioning

confidence: 99%

Determining the optimal inspection rate of circuit breakers equipped with condition monitoring devices using new maintenance Markov model

Karimabadi

Hajiabadi

Kamyab³

et al. 2020

Int Trans Electr Energ Syst

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Nowadays, the maintenance scheduling of equipment has been highly improved using condition monitoring (CM) systems. This paper determines the optimal inspection rate of circuit breakers equipped with CM using a novel mathematical procedure. To achieve this goal, in the first step, it is necessary to quantify the effect of CM on the early detection of minor failures of the equipment. Therefore, a mathematical formulation is provided to categorize and model the failures of the equipment based on their severity. Moreover, a new concept termed predictive maintenance (PDM) rate will be introduced and formulated in this paper. The PDM rate is applied in the maintenance process as the smart inspection rate of the equipment. In the second step, this paper proposes a new combined preventive and predictive maintenance Markov model. By developing the formulation of the proposed Markov model, an optimization problem is formed. In this optimization problem, the annual maintenance cost serves as the objective function and the inspection rates represent the decision variables. The comprehensive statistical study on the failures of 400kv‐CB of KREC in Iran and the implementation of the proposed method indicates that the CM and optimal inspection of the CB not only enhances the lifetime of the CB by 19.48 years but also lower the annual maintenance cost by 19%.

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Section: The Statistical Study Of Cb Failures In the Krecmentioning

confidence: 99%

Determining the optimal inspection rate of circuit breakers equipped with condition monitoring devices using new maintenance Markov model

Karimabadi

Hajiabadi

Kamyab³

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The dates when the train-sets should be withdrawn from service and sent to the maintenance center are crucial for the rolling stock operator as well as for the planning at the maintenance center. Given that the heavy maintenance of a train-set is a long process, both, rolling stock operator and maintenance center, need to specify at least for a year when the heavy maintenance of each train-set should commence [10], [15]. Furthermore, often the transportation of passengers and the rolling stock heavy maintenance are carried out by two separate organizations which operate on the basis of a long term contract that specifies for each train-set the precise date of the commencement of its maintenance.…”

mentioning

confidence: 99%

“…The heavy maintenance has a validity period after which another heavy maintenance procedure must take place according to the engineering restrictions. Consequently, the rolling stock operator determines for every train-set a time window within which the maintenance of this train-set should commence (see, for example, [10]). The length of such time window depends on the practice of the rolling stock operator and in some cases can be zero (see, for example, [15]).…”

mentioning

confidence: 99%

“…In authors' opinion, the high-level maintenance planning has not attracted literature which it deserves. To the best of the authors' knowledge, only the publications [15], [5], and [10] are closely related to the planning problem considered in this paper.…”

mentioning

confidence: 99%

“…The publication [10] is concerned with planning the heavy maintenance of the electric multiple units at the Shanghai Railway Bureau. As in [15] and [5], it is assumed that the duration of maintenance is known and that the limit on the number of trains that can dwell at the maintenance center simultaneously cannot be violated.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Planning rolling stock maintenance: Optimization of train arrival dates at a maintenance center

Gu¹,

Lam²,

Zinder³

2022

JIMO

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<p style='text-indent:20px;'>A railway network is an indispensable part of the public transportation system in many major cities around the world. In order to provide a safe and reliable service, a fleet of passenger trains must undergo regular maintenance. These maintenance operations are lengthy procedures, which are planned for one year or a longer period. The planning specifies the dates of trains' arrival at the maintenance center and should take into account the uncertain duration of maintenance operations, the periods of validity of the previous maintenance, the desired number of trains in service, and the capacity of the maintenance center. The paper presents a nonlinear programming formulation of the considered problem and several optimization procedures which were compared by computational experiments using real world data. The results of these experiments indicate that the presented approach is capable to be used in real world planning process.</p>

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A Genetic Algorithm Approach for Scheduling Trains Maintenance Under Uncertainty

Lam

2019

Advanced Computational Methods for Knowledge Engineering

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This paper investigates the overhaul maintenance scheduling problem in which the maintenance duration is uncertain at the time of planning. This problem involves specifying the dates of trains' arrival at the maintenance centre while taking into consideration the due windows, the desired number of trains in service, and the capacity of the maintenance centre. The cycle time of each type of trains is random with a known probability distribution. The objective is to minimise a weighted sum of two components: (i) the deviation of the assigned arrival dates from the due windows and (ii) the penalty for violating the resources' constraints. A combined genetic algorithm with sample average approximation solution approach is developed to solve this problem. The solution approach consists of a genetic algorithm for global search and an exact method to determine the arrival dates of train-sets when a sequence of train-sets is known. The results with data provided by one of the leading Australian maintenance center show that the proposed method can produce good solution within acceptable computation time.

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Optimization of high-level preventive maintenance scheduling for high-speed trains

Cited by 81 publications

References 27 publications

Determining the optimal inspection rate of circuit breakers equipped with condition monitoring devices using new maintenance Markov model

Determining the optimal inspection rate of circuit breakers equipped with condition monitoring devices using new maintenance Markov model

Planning rolling stock maintenance: Optimization of train arrival dates at a maintenance center

A Genetic Algorithm Approach for Scheduling Trains Maintenance Under Uncertainty

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