Abstract:
A combined cycle gas turbine (CCGT) is a complex interconnected system that uses gas turbine�s hot exhaust to power the steam power plant for achieving higher thermal efficiency.Since the performance of CCGT power plants is governed by huge number of parameters linked to various components (such as compressor, combustion unit and turbine), alarms are configured to inform system operators of the abnormal operating conditions[1].Alarm systems plays a vital role in ensuring safe operation of power plants.However, poor management of alarm systems result in alarm flooding, nuisance alarms, chattering alarms and false alarms which can distract the operator from determining the true state of the process.In order to rationalize the alarms, We have implemented univariate and multivariate data analysis techniques on 10 days alarm data obtained from CCGT power plant, Dhuvaran,Gujarat.We achieved the reduction of 95% with average alarm count/day reduced from 11520 to 559 per day.