given conditions today, the asset manager or maintainer makes one of three decisions and considers cost implications:
- Intervene immediately and conduct maintenance on equipment now? Or,
- Plan to conduct maintenance within a specified time? Or,
- Defer the maintenance decision until the next CBM observation? And,
- What are the cost implications of repair versus replace?
exakt integrates your multivariate data to calculate RUL, probability of failure, and optimal timing, with respect to cost, of repair/replace intervention
- Optimum % balance of preventive replacement and predictive or run-to-failure maintenance
- Cost impact related to current practice
- Statistical validity of alternative models
- Remaining useful life
- Expected time between replacements
- Traffic light graph with a current status trend line and
“Replace/Don’t Replace” conclusion.
results of Very complex calculations presented in simple graphical format
- Relates condition variables to failure modes with statistical confidence levels and thereby enables the company to stop collecting and analyzing low-impact data
- Gives the equipment maintainer or operator a high level of confidence that the equipment will not fail before the end of a required performance or production window
- Reduces maintenance costs by optimizing the blend of preventive and condition-based replacements or run-to-failure
- Provides for orderly replacement planning by predicting remaining useful life
- For complex equipment, increases the accuracy of failure prediction by operating at the component level
- Provides accurate and consistent prediction model for each piece of equipment
- Easy to read graphical output shows results at a glance.
