The use of in-line and on-site fluid analysis systems in the mining industry will decrease equipment downtime, reduce total cost of ownership, increase reliability, enable more efficient use of operating equipment and reduce the amount of oil in waste streams. The application of automated oil analysis by smart groups of sensors and miniaturized analytical instruments is being extended to include mine process machinery as well as the equipment used to recover and transport raw materials.
Automated fluid analysis technologies use sensors and sophisticated analytical modules controlled by microprocessors to determine the conditions of machine fluids. Automated fluid analysis technologies help establish a preventative maintenance program based on need rather than a set schedule based on hours of equipment operation. Therefore, maintenance activities are performed when fluid deterioration and equipment wear are detected. As a result, the length of time between maintenance activities increases, less used oil is generated, and unscheduled repair work decreases.
Recently, a great deal of research has focused on developing better sensors and instruments for automated fluid analysis systems and gathering more complete analytical data about fluids and their deterioration. By using these advances, and gathering specific information about these fluids’ characteristics in mining equipment, partners will develop an automated fluid analysis system that is specific to mining equipment and conditions. This system will help reduce equipment life cycle costs and equipment downtime.
Project Description Objective: To implement advanced in-line and on-line systems for machine condition diagnostics and prognostics based on analysis of lubricating oils and hydraulic fluids.
The first step of this project is to adapt and develop the present On-Board Intelligent Lubrication Prognostic (OILPro) system for use in the mining industry. Adaptations will be based on detailed knowledge of ways in which in-service oils and lubricants deteriorate and how best to measure these parameters in mining equipment. The next step is to determine the critical characteristics on hydraulic and powertrain fluids as well as how to measure these key characteristics.
Progress and Milestone Activities completed in this project include: • Design, fabrication, and bench testing of an automated, multi-sensor oil analysis system. • Development and demonstration of sensitive infrared sensor to detect water in oil. Activities to be completed in this project include: • Development and deployment of software that allows remote, web-based, expert system analysis data, data archiving as well as human expert review and quality assurances. • Deployment of full function demonstration system (hardware and software) at an open pit mine. • Demonstration of laser light extinction sensor for in-situ analysis of particles in hydraulic fluids. • Further development of the present multi-sensor system for in-line use on board heavy mining equipment. • Commercialization of the technology through licensing to a third party manufacturer.
development and deployment of automated machine fluid analysis systems, on-site and in-line fluid analysis systems warn of fluid deterioration and pending equipment failure.
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