RETRACTED: Using Data Mining Methods for Predicting Sequential Maintenance Activities

Abstract

A data mining approach is integrated in this work for predictive sequential maintenance along with information on spare parts based on the history of the maintenance data. For most practical problems, the simple failure of one part of a given piece of equipment induces the subsequent failure of the other parts of said equipment. For example, it is frequently observed in mining industries that, like many other industries, the maintenance of conventional equipment is carried out in sequence. Besides, depending on the state of parts of the equipment, many parts can be consumed and replaced. Consequently, with a group of spare parts consumed sequentially in various maintenance activities, it is possible to discover sequential maintenance activities. From maintenance data with predefined support or threshold values and spare parts information, this work determines the sequential patterns of maintenance activities. The proposed method predicts the occurrence of the next maintenance activity with information on the consumed spare parts. An industrial real case study is presented in this paper and it is well-noticed that our experimental results shed new light on the maintenance prediction using data mining.

Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints

“…• Classification analysis (see for example [63,64]); • Clustering (see for example [65]); • Building predictive models, etc. (see for example [66]).…”

Diagnostic of Failure in Transmission System of Agriculture Tractors Using Predictive Maintenance Based Software

“…On the other hand, predictive maintenance is often referred to as condition-based maintenance [21], and allow the operator to identify in advance the probability occurrence of failures. Through predictive techniques, condition of failures are monitored, and the corrective action when necessary is performed through a planned corrective maintenance [22]. The use of predictive maintenance with technologies is presented as an alternative to guaranteeing and improving the levels of reliability, and availability of the agricultural machinery, e.g., tractors [23].…”

RETRACTED: Rezig et al. Using Data Mining Methods for Predicting Sequential Maintenance Activities. Appl. Sci. 2018, 8, 2184

“…After the results from a research project with former students of the university were published in Applied Sciences [1], it turned out that the example that was used by the students was taken from a thesis work carried out in an Indian company.…”

“…As soon as we heard this from our Indian colleagues, we reacted and asked the editorial office of Applied Sciences to remove the paper. The decision to retract has been made in cooperation with the authors of the article [1].…”

“…MDPI is a member of the Committee on Publication Ethics and takes seriously the responsibility to enforce strict ethical policies and standards. The published article [1] is retracted and shall be marked accordingly.…”