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Real-time vibration diagnostics
of machinery with probability close to 1
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In 2001 the quality management system of SPC Dynamics was put through facultative certification. In 2016 it was recertified for compliance with standards ISO 9001:2008. Its results confirmed a high level of goods and services quality management. In 2001 the quality management system of SPC Dynamics was put through facultative certification. In 2016 it was recertified for compliance with standard GOST ISO 9001-2011. Its results confirmed a high level of goods and services quality management.
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Home Publications Articles Real-time health monitoring systems of machinery - risk assessment

Real-time health monitoring systems of machinery - risk assessment

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Modern production facilities equipment operation and transport complex are unthinkable without the use of health monitoring systems. Currently, the production and transport facilities of the complex are distinguished by the degree of impact on the country’s security, economy and ecology: objects of technical regulation, hazardous production facilities, critical facilities, strategic facilities.

It is clear that various classes of systems should be used for these objects health monitoring. Principles of monitoring construction documented in the literature are reflected in the standards. Monitoring systems should provide information on the equipment (monitoring object) status in the required quantity and quality to provide observability of its technical state. Observation systems results should advance to take control actions, which provide the required stability margin processing facility, quality of its operation, create a necessary supply of technological, environmental and economic safety. These systems form the basis of automated control systems for the safe resource-saving operation of equipment in real time within the whole enterprise.

Risk decisions are determined by monitoring errors - static, dynamic, and those due to the influence of human factor. A significant effect of a static error detection on the magnitude of a dynamic error detection and of the failure omission risk due to the monitoring system has been shown. An equation of the static and dynamic errors relation, invariant to the nature of these processes and diagnostic features has been obtained.

There have been obtained numerical estimates of the dynamic error increase for linear and exponential trends of technical state degradation in the objects, invariant to their nature. Ways of improving the monitoring systems for malfunctions in objects of different responsibility depends on the basis of a modernized classification criterion.

References:

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Kostyukov V.N. Real-time health monitoring systems of machinery - risk assessment // Condition Monitoring and Machinery Failure Prevention Technologies (СМ/MFPT 2014)

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Tags: condition monitoring diagnostics vibration analysis non-destructive testing Date: 07.02.2017
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