9Clean Energy Capability Portfolio | Renewable Generation |
Advanced Condition- Monitoring for
Optimised Maintenance
of Critical Equipment
In the rapidly growing renewable energy market , where fuel is free , maintenance is the major operational cost . In this situation , condition-monitoring provides major economic benefits in terms of plant availability , maintenance optimisation and safety . UNSW ’ s capability in this area includes condition-monitoring and condition-based maintenance for critical equipment in wind , solar-thermal , hydroelectric and traditional thermal plants . |
Competitive Advantage • Ability to integrate wear and vibration analysis to monitor machine condition and predict the remaining life of critical assets
• Cutting-edge diagnostic and prognostic tools to inform maintenance decision makers
• World-renowned research group with expertise in vibration and wear debris analyses
Impact • Significant cost savings by targeting maintenance where required
• Increased asset availability to deliver energy security
• Amplified maintenance savings on large fleets – e . g ., wind farms
• Increased safety for personnel via early detection and failure prediction in rotating machine components
Successful Applications • Detection of gear faults on planetary and spur gears for wind turbines
• Maintenance optimisation for concentrated solar power plants
• Monitoring of pumps , fans and auxiliary rotating machines
• Development of remotely controlled standalone acquisition systems for monitoring asset fleets
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Capabilities and Facilities • Fault detection , diagnostics and prognostics are supported by :
• Test rigs with diagnostic and prognostic capabilities :
• Multi-stage parallel + planetary gearbox test-rig
• Spur gearbox test-rigs
• Rolling element bearing test-rig
• A large range of vibration and acoustic emission instrumentation
• Portable acquisition systems for onsite measurements
• Oil and wear debris analysers
More Information Associate Professor Pietro Borghesani
School of Mechanical and Manufacturing Engineering
T : + 61 2 9385 7899 E : p . borghesani @ unsw . edu . au
Professor Zhongxiao Peng
School of Mechanical and Manufacturing Engineering
T : + 61 2 9385 4142
E : z . peng @ unsw . edu . au
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