Implementation of Predictive Maintenance on Defense Radar Using the FMECA Method and PHP Software to Support Maintenance Action Decision Making.
Hendrawan Candra Purnama (1*)- Susy Susmartini (2)- Lobes Herdiman (2)

1. Master Graduate Program in Industrial Engineering Department, Faculty of Engineering. Universitas Sebelas Maret Surakarta.
* cps2ti2021[at]student.uns.ac.id- C1P1hendrawan[at]gmail.com

2. Industrial Engineering Program, Faculty of Engineering. Universitas Sebelas Maret Surakarta.

Abstract

Introduction: The operational readiness of the defense radar is crucial in protecting the country^s sovereignty from aerial threats. Proper monitoring of radar health status needs to be continuously developed so that it can support high operational performance. Prioritizing equipment repairs through appropriate predictive maintenance will assist radar technicians in making maintenance action decisions, thereby preventing fatal breakdowns.

Purpose: This study aims to add maintenance techniques to defense radar with predictive maintenance so that the system can predict critical failures and prevent fatal breakdowns.

Method: This study uses Failure mode effect and criticality analysis (FMECA) method to analyze all possible failures, then calculate the risk priority number (RPN) and PHP software, to provide priority suggestions for handling failures in non-emergency conditions.

Main Finding: Built-in test equipment (BITE) system integration on all subsystem at radar station to support technicians in monitoring the radar health status in one screen and support the decision-making action for maintenance.

Implication: This study can be useful in the development of maintenance technology for electronic, mechanical, and industrial systems that have system complexity so as to help find critical components that need deeper attention.

Keywords: Electronics system- FMECA- Predictive maintenance- Risk priority

Topic: Engineering