Risk and reliability analysis on critical components of boiler in steam power plant

Abstract

This paper uses the failure mode and effect analysis (FMEA) approach to conduct a risk analysis, and the reliability approach to determine the level of reliability of critical components of boiler sections in steam power plants. The critical components of the boiler will be identified failure modes, causes of failures and effects of failures, and then assess the severity, occurrence and detection to get a risk priority number (RPN). The critical boiler component with the highest risk is calculated for reliability. The results of this paper show the highest risk found in the four critical components of the boiler, namely cyclone separators, primary air fan (PA fan), coal feeder, and induced draft fan (ID fan). While the reliability calculation results of the four components, the average reliability value obtained is below fifty percent, or including low. The results of risk and reliability analysis that recommend to minimize risk and improve the reliability of critical components in the boiler using diagnostic methods, conducting preventive controls, using visual management techniques, using sensors to distinguish failures, and carrying out preventive and scheduled maintenance to prevent unexpected outages in the generating system.

Defect Analysis to Improve Quality in Traditional Shipbuilding Processes

“…The risk factor is indicated in the form of RPN. Three input parameters are rated on a 10-point scale (I Pamungkas et al, 2020;Iing Pamungkas & Irawan, 2020). This paper analyses the four causes of defects in traditional shipbuilding using the FMEA approach.…”