Smart management of technologies: predictive maintenance of industrial equipment using wireless sensor networks

Andrey I. Vlasov (), Pavel V. Grigoriev, Aleksey I. Krivoshein, Aleksey I. Krivoshein, Vadim A. Shakhnov (), Sergey S. Filin, Sergey S. Filin and Vladimir S. Migalin
Additional contact information
Andrey I. Vlasov: Bauman Moscow State Technical University, Russian Federation
Pavel V. Grigoriev: Bauman Moscow State Technical University, Russian Federation
Aleksey I. Krivoshein: Bauman Moscow State Technical University, Russian Federation
Aleksey I. Krivoshein: LLC "Konnekt", Russian Federation
Vadim A. Shakhnov: Bauman Moscow State Technical University, Russian Federation
Sergey S. Filin: Bauman Moscow State Technical University, Russian Federation
Sergey S. Filin: LLC "Konnekt", Russian Federation
Vladimir S. Migalin: LLC "Konnekt", Russian Federation

Entrepreneurship and Sustainability Issues, 2018, vol. 6, issue 2, 489-502

Abstract: One of the most important problems of creating new and also modernizing and operating the existing industrial equipment is to provide it with technical diagnostic tools. In modern systems, most diagnostic problems are solved by vibration monitoring methods, and they form the basis of this process. For several years already, when creating new responsible equipment, many manufacturers have completed it with monitoring and diagnostic systems, often integrating them functionally with automatic control systems. This paper discusses the methods of servicing industrial equipment, focusing on predictive maintenance, also known as actual maintenance (maintenance according to the actual technical condition).The rationale for the use of wireless systems for data collection and processing is presented. The principles of constructing wireless sensor networks and the data transmission protocols used to collect statistical information on the state of the elements of industrial equipment, depending on the field of application, are analyzed. The purpose of the study is to substantiate the feasibility of using wireless sensor networks as technical diagnostic tools from both economic and technical points of view. The result is the proposed concept of the predictive maintenance system. The paper substantiates the model of optimization of predic-tive repair using wireless sensor networks. This approach is based on minimizing the costs of maintenance of equipment. The presented concept of a system of predictive maintenance on the basis of sensor networks allows real-time analysis of the state of equipment. The approach allows implementing smart management of technologies in companies for ensuring stability of functioning.

Keywords: management of technologies; monitoring of technological processes; industrial equipment; predictive repair; smart management concept (search for similar items in EconPapers)
JEL-codes: C14 C80 D24 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:ssi:jouesi:v:6:y:2018:i:2:p:489-502

DOI: 10.9770/jesi.2018.6.2(2)

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