Article 4218

Title of the article



Vlasov Andrey Igorevich, candidate of technical sciences, associate professor, sub-department of engineering and manufacturing technology of radio-electronic equipment, Bauman Moscow State Technical University (105005, page 1, 5 2-ya Baumanskaya street, Moscow, Russia),
Grigor'ev Pavel Valer'evich, assistant, sub-department of engineering and manufacturing technology of radio-electronic equipment, Bauman Moscow State Technical University (105005, page 1, 5 2-ya Baumanskaya street, Moscow, Russia),
Krivoshein Aleksey Igorevich, master degree student, sub-department of engineering and manufacturing technology of radio-electronic equipment, Bauman Moscow State Technical University, (105005, page 1, 5 2-ya Baumanskaya street, Moscow, Russia),

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Background. In work the main attention is paid to methods of predictive service (to service on the actual technical condition). At such type of service the condition of the equipment is controlled continuously or periodically. Depending on the received results the forecast of technical condition of the equipment is formed and programs of maintenance are formed. The systems of predictive service are capable to predict a condition of system on the basis of current state of the equipment and define necessary actions for maintenance that is today relevant and finds broad application in the industry. The purpose of work is development of the generalized concept of realization of system of predictive service on the basis of touch networks with radio-frequency identification and assessment of efficiency of realization of such system on complex cost model. At realization of this approach the probability of an unplanned exit of system from operation is minimized. It increases efficiency of service and productivity of system and reduces costs of maintenance. 
Materials and methods. For monitoring of the current actual state of industrial systems for the purpose of prevention of failures the model of the system based on wireless network of sensors is offered. The systems of predictive service based on wireless network of sensors unlike other categories of maintenance, keep the data obtained in the course of monitoring that allows to apply progressive control methods of technical condition and to analyze data in real time and also to do forecasts for technical condition of the equipment. The model of predictive repair offered in article is based on minimization of costs of service, diagnostics and risks of failure of components. At assessment of average time of work it is offered to apply the simplified model in which deterioration in technical condition (change of a diagnostic signal) takes place in a straight line from an initial state to extreme value of technical condition (to the full) of object i-go. Results. The concept of creation of system of predictive service on the basis of touch networks with radichastotny identification is offered. For assessment of efficiency of predictive ser-vice the cost model of optimization of predictive equipment maintenance with application of wireless touch networks based on minimization of costs of service, diagnostics and expansion of system of monitoring of the equipment is offered.
Conclusions. Predictive equipment maintenance is directed to prediction of the place and time of probable emergence of malfunctions and also to avoidance of idle time of resources and cut in expenditure on service. Application of wireless channels of communication in the system of monitoring allows to develop in the shortest possible time touch network in independence of a spatial arrangement of sensors. The submitted concept of system of predictive service on the basis of touch networks will allow to carry out in real time the analysis of a condition of the equipment. It agrees to the data obtained from sensors of touch network the program of maintenance of the equipment is formed.

Key words

wireless sensor networks, predictive repair, data transmission, maintenance, information processing, monitoring of technological processes, prediction of defects

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Дата создания: 18.06.2018 14:06
Дата обновления: 18.06.2018 16:24