Specialist, Reliability System

Jobs

By First Quantum Mineral

:\r\n\r\nPropose\r\n\r\nTo develop, implement, and optimize digital reliability systems and online condition monitoring solutions for fixed plant assets, with a primary focus on conveyor belt monitoring systems and wireless sensor platforms.\r\n\r\nThe role aims to enhance predictive maintenance capability, improve equipment reliability, reduce unplanned downtime, and provide data-driven insights to support maintenance and operational decision-making.\r\n\r\n \r\n\r\nKey Responsibilities\r\n\r\nGovernance, Safety & Compliance\r\n\r\n \tEnsure all monitoring systems and installations comply with company HSE standards and statutory regulations\r\n \tAdhere to company policies, engineering standards, and system governance requirements\r\n \tPromote safe practices during installation, inspection, and maintenance of monitoring systems\r\n\r\n \r\n\r\nReliability Systems Management\r\n\r\n \tOwn and manage reliability digital systems including:\r\n \tConveyor belt online monitoring systems (e.g., rip detection, misalignment, speed, temperature)\r\n \tWireless condition monitoring platforms (e.g., Dynamox sensors)\r\n \tEnsure system uptime, data accuracy, and performance reliability\r\n \tDevelop system standards, installation guidelines, and maintenance requirements\r\n\r\n \r\n\r\nConveyor Belt Monitoring Systems\r\n\r\n \tImplement and maintain conveyor condition monitoring systems for:\r\n \tBelt health and integrity (rip detection, wear, splice condition)\r\n \tIdler condition monitoring (temperature, vibration where available)\r\n \tDrive and pulley health tracking\r\n \tAnalyse conveyor system data to identify failure risks and inefficiencies\r\n \tSupport optimization of conveyor availability and throughput\r\n\r\n \r\n\r\nWireless Sensor Monitoring (Dynamox & Similar Systems)\r\n\r\n \tDeploy, configure, and manage wireless vibration and temperature sensors\r\n \tValidate sensor placement strategies and instrumentation coverage\r\n \tAnalyse condition monitoring