Showcasing Advances in Preventive Maintenance & Condition Monitoring
Thursday, 9 May 2024
Recent advances in predictive maintenance and monitoring have revolutionized the field of lubrication, offering proactive solutions to enhance equipment reliability and performance. With the integration of IoT (Internet of Things) sensors, data analytics, and machine learning algorithms, industries can now monitor the condition of lubricants and machinery in real time. These technologies enable the continuous assessment of factors such as oil quality, viscosity, and wear particles, providing early detection of potential issues before they escalate. Predictive maintenance models can analyze historical data to predict equipment failures, optimize lubrication schedules, and extend the lifespan of components. Don’t miss the chance to hear about the latest methodologies for predictive maintenance and monitoring and put your questions to the panel of experts. Presentations include:
- Inline condition monitoring for lubricants and cooling fluids
- Measurement of lubricant aeration in real operating conditions
- Enhancing machinery reliability with real-time oil condition monitoring
- Using lubrication data create a successful reliability programme