Cost-based preventive maintenance of industrial robot system

Abstract:

The modern robot assumes an undeniably significant part in modern and social exercises, and its presentation extraordinarily affects the whole programmed creation line. Most examinations have dissected the unwavering quality of modern robot frameworks, while the exploration on preventive support considering numerous expenses is restricted. This paper proposes two unique preventive support procedures for modern robot frameworks. A preventive upkeep significance, right off the bat, measure (PMIM) is proposed by considering part support costs, framework misfortunes, and part preventive upkeep costs. Consequently, preventive support systems are recommended and streamlined in view of whether the bombed part is basic or part of a cut set, to decide the need and ideal number of parts for preventive upkeep. Ultimately, a welding robot is taken as an illustration to check the practicality of the proposed preventive upkeep methodologies.

Introduction: 

A modern robot is a complex electromechanical framework that is vulnerable to different questionable variables, including testing working conditions, gathering freedom blunders, and mechanical part wear. These elements can affect the assistance life and item consistency of modern robot frameworks. The disappointment of parts might prompt execution corruption or breakdown of the whole modern robot frameworks. Hence, upgrading the presentation of modern robot frameworks holds massive significance. Preventive support is a compelling method for forestalling likely disappointment and work on the exhibition and unwavering quality of modern robot frameworks. Be that as it may, because of restricted support assets, it may not be imaginable to at the same time perform preventive upkeep on all parts. Consequently, it is vital to decide the preventive upkeep grouping of parts and the quantity of parts that can be fixed preventively.

For a repairable framework, Dui et al. [1] proposed different upkeep methodologies in light of various issue conditions. Levitin et al. [2] improved the substitution and upkeep timetable to limit the absolute expected task cost. Shi et al. [3] investigated the effect of upkeep on the primary execution capability and laid out an enhancement model for the preventive support methodology of design. Wei et al. [4] dissected preventive upkeep methodologies that consider different aftereffect costs brought about by execution corruption. Su et al. [5] considered the impact of different upkeep ways of behaving on the period of wind turbine frameworks and read up preventive support issues for multi-part frameworks. Babishin et al. [6] proposed a non-intermittent investigation and support technique, giving a powerful strategy to framework upkeep. Teixeira et al. [7] utilized summed up stochastic Petri nets to think about the impact of remedial support and preventive upkeep on framework execution and support costs. Dui et al. [8] proposed another ideal support proficiency model for water system organizations. Chen et al. [9] considered support costs under various upkeep procedures and proposed new significance measure in light of two kinds of upkeep costs. Dui et al. [10] broadened the idea of part upkeep need to different circumstances with multi-state, constant, and spasmodic frameworks, separately. Writing [11,12] assessed framework strength in light of dynamic Bayes networks under execution debasement and upkeep process. Cai et al. [13] proposed an expectation strategy for staying helpful life in light of the Wiener cycle, consolidating present status and verifiable corruption information. Zhang et al. [14] formed the ideal support procedure by limiting the expense rate inside an endless time range. Hashemi et al. [15] proposed an ideal age-based and block-preventive upkeep model. Cheng et al. [16] proposed an ideal review and upkeep plan for items that are dependent upon cutthroat disappointment away.

For modern robot frameworks, disappointment mode and impact investigation can be utilized for risk appraisal and dependability examination [17], [18], [19]. Fazlollahtabar and Niaki [20] dissected the shortcoming of modern robots by joining them with the dependability block graph, peril choice tree and issue tree. Zhang et al. [21] got the unwavering quality timespan robots by utilizing the technique for likelihood hypothesis. Komal [22] got the disappointment likelihood of modern robot disappointment occasions by utilizing fluffy issue tree investigation. Bai et al. [23] proposed another unwavering quality assignment technique in light of mental vulnerability considering the intricacy and restricted shortcoming information of multi-state modern robot frameworks. Qi et al. [24] laid out an autoregressive moving normal model to convenient perform preventive upkeep on modern robot frameworks. Wu et al. [25] assessed the end present mistake and movement unwavering quality of modern robots in view of non-likelihood stretch hypothesis.

The significance measure hypothesis can give important data to the support technique of frameworks. Gu et al. [26] proposed an incorporated accessibility significance measure in light of the corresponding perils model. Zhu et al. [27] proposed two kinds of significance estimates that consider different support activities and the leftover help life of the framework. Phuc et al. [28] proposed another time-related significance measure, which is characterized as the capacity of parts to work on the excess existence of the framework during substitution. Liu et al. [29] integrated requirements into the meaning of significance measure and proposed another significance measure that can assess framework execution while likewise considering imperative expense. Dui et al. [30] proposed an expense based incorporated significance measure to survey the impact of upkeep cost and time on framework unwavering quality. Ling et al. [31] characterized the criticality fluffy wellbeing significance proportion of the multi-part framework under fluffy information sources, which can be utilized for issue discovery. To choose preventive support parts all the more sensibly, Dui et al. [32] proposed the joint coordinated significance measure. Zhang et al. [33] applied the Griffith significance measure and coordinated significance measure to the seaward hurl remuneration frameworks. Chen et al. [34] proposed six significant measures for parts with constant time corruption, which give time-related examination of part criticality.

Conclusions and future work:

To work on the unwavering quality of the modern robot framework and give important direction to upkeep, we first lead the disappointment mode and impact examination of the parts of the modern robot framework. Then, at that point, the impact of part disappointment on various levels of the framework is connected to part upkeep costs, framework misfortunes, and part preventive support costs. In view of this, the preventive support significance measure is proposed.

 

Time to get the VIP code 15 seconds.