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INFORMATION SUPPORT IMPROVING
FOR TECHNICAL DIAGNOSTICS AND CONTINUOUS MONITORING SYSTEMS
Dmitrii V. Efanov, Russian University of Transport (MIIT), Moscow, Russia,
TrES-4b@yandex.ru
Valerii V. Khoroshev, Russian University of Transport (MIIT), Moscow, Russia,
Hvv91@icloud.com
Abstract
The article raises the problem of technological development of monitoring for complex technical systems, which include many different mobile and stationary objects. Such systems are equipped with built-in and external technical diagnostics and monitoring means. They form informational messages about the obtained measurement results and the current states of the components. Such information allows service personnel to promptly prevent a process shutdown, identify pre-failure conditions and to increase the fault-tolerant. When organizing technical diagnostics and monitoring systems, it is often impossible to ensure the necessary diagnosis accuracy, prediction accuracy, diagnosis completeness and depth. However, the information obtained by the monitoring systems makes it possible to form a multitude of diagnostic signs corresponding to the objects states. This information may be the source for the implementation of decision support subsystems at the program level for service staff. The authors propose to use data from measuring subsystems, historical information about a specific diagnostic object and statistical value obtained from monitoring systems in automatic mode, to form the initial data for decision support subsystems. The statistical value are the probabilities of the defects occurrence and data on complex indicators of the diagnostics cost, varying depending on the service life, the importance of the object being diagnosed for the process, its impact on the readiness of the system, etc. Baseline data is used at the software level to implement diagnostic algorithms in the form of questionnaires. The output contains the recommended sequence of actions for testing the object of diagnosis for the most effective defect detection. An example of the monitoring technologies development for railway automation facilities is given.
Keywords: technical diagnostics and monitoring systems; decision support system; questionnaire; diagnostic event; probability of event.
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Information about authors:
Dmitrii V. Efanov, DSc, Professor at «Automation, Remote Control and Communication on Railway Transport», Russian University of Transport (MIIT),Head of the Direction of Monitoring and Diagnostic Systems at «LoсoTech-Signal» LLC, Moscow, Russia
Valerii V. Khoroshev, PhD Student, Department of «Automation, Remote Control and Communication on Railway Transport», Russian University of Transport(MIIT), Moscow, Russia