Abstract
A condition-based maintenance approach may be used for planning the maintenance activities of textile machines with a satisfactory performance by developing maintenance decision-making support based on fuzzy logic and vibration monitoring. Since textile machines are systems with moving parts operating at relatively high-speed, vibration monitoring was used to indicate their failure development. At the same time, the characterization of the degradation phenomenon of textile machines involves some degree of uncertainty and vagueness. Within this context, a knowledge-based approach that employed fuzzy logic and vibration monitoring was developed. Deterioration symptoms do announce future failures of industrial machines, therefore building a maintenance decision-making support for scheduling maintenance actions of textile machines based on the estimation of their condition becomes a resourceful way to prevent their further deterioration.
Highlights
The structure of industrial machines that integrates heterogeneous components and complex subsystems, is becoming increasingly advanced and difficult to be controlled [1]
With proper design and implementation, condition-based maintenance may be an effective tool for maintenance decision-making of industrial machines
Since the manufacturers of textile machines do not specify the admissible level of vibrations during the function of their machines, an operating regime at which vibrations are at lowest levels can be recommended based on vibration monitoring
Summary
The structure of industrial machines that integrates heterogeneous components and complex subsystems, is becoming increasingly advanced and difficult to be controlled [1]. Such machines often can fail, which has an important influence on their availability and on the productivity of manufacturing facilities [2]. As a result, manufacturing companies should consider any potential characteristic that can improve the effectiveness of their machines Among such features, maintainability is considered to have an important influence on the system’s effectiveness [3], [4], enabling any company to become a world-class manufacturer [5], [6]. Maintainability depends on how failures are identified as well as on how maintenance activities are planned and carried out in order to prevent or eliminate the deterioration of machines
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