Oil and Gas: condition monitoring system

Extract

[...] For example, in a compressor the condition monitoring system is developed based on pressure and temperature variations in the device. The measuring instruments chosen are based on the parameters likely to indicate failure (Collacott, 2012). The systems detect equipment degradation and misalignment, trace historical usage, and assist optimize machine performance - an eventually improving system uptimes and reduce repair costs. The study by Ebersbach and Peng (2008) explores the employment of specialist structures permitting vibration examination to counteract losses in rotary mechanical systems. [...]

[...] Variation of the factors beyond the norm within the compressors and pump signifies a possible system failure. Working of condition monitoring system Rotating mechanical systems are employed in the oil and gas facilities, among other industrial processing facilities. Condition monitoring of the oil and gas systems, specifically vibration monitoring, permits losses prevention triggered by misalignment, unbalanced forces, metal fatigue, inappropriate lubrication of ball bearings, welded parts cracks and locking of ball bearings. The oil and gas condition monitoring system is developed around the fetures of the device being monitored. [...]

[...] The measured values are sent to the servers and are analysed further. Also notification and alarms can be triggered to alert the maintenance team for a changeover to a standby compressor. The temperature, pressure and gas properties from the analysers are used for monitoring and trending the compressors health. In reciprocating compressors, the PV diagram shows the pressure and temperature during the whole compression cycles and stages. Mapping the PV diagram can be used to understand the volumetric efficiencies and leakages in the compressor (Collacott, 2012). [...]

[...] The processes results are applied in the condition control system to signify deviations that might indicate failure in the compressor. References Azadeh, A., Ebrahimipour, V., & Bavar, P A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry. Expert Systems with Applications Collacott, R Mechanical fault diagnosis and condition monitoring. Springer Science & Business Media. Ebersbach, S., & Peng, Z Expert system development for vibration analysis in machine condition monitoring. Expert systems with applications, 291-299. [...]