CMMS Best Practices 101: Reliable Data Fosters Reliable Assets

Workshop 5 – (1 Day) – Monday, March. 12th

Led by Forrest Pardue, 24/7 Systems, Inc.

Over the past 20 years, many US plants have invested heavily in condition monitoring technologies such as vibration, oil analysis, thermography, and motor circuit evaluation to provide an accurate prediction of plant equipment problems. These predictive maintenance programs use best of breed technical equipment along with trained and certified analysts, and they often produce solid technical results. Each month valid condition monitoring results are produced and distributed to plant maintenance and operations personnel. So why do critical machines that have been identified as degraded in advance, continue to fail in service? Why do many predictive maintenance programs have their funding and staff cut at the first sign of a sales decline? The problem is that plant management implemented condition monitoring without laying the groundwork for Condition-Based Maintenance. What’s the difference? Condition monitoring is largely a technology and training issue while Condition-Based Maintenance requires the existence of a reliability culture involving both operations and maintenance. Innovative plants have found that a consistent program of communication and accountability have helped them to instill and sustain that type of Condition-Based Maintenance culture.

Learning Objectives:

Understand the tools and functions of reliability information management required to: 1. Eliminate in service failures on critical equipment 2. Eliminate costly preventive (scheduled) maintenance work when condition analysis shows no need for the work 3. Eliminate basic machinery problems so that less total maintenance is required 4. Extend the life (reliability) of plant equipment while achieving the lowest total lifecycle cost 5. Measure program results and adjust resources and focus as needed.