While traditional maintenance techniques are primarily reactive in nature, technological advances call for updated strategies that allow companies to make smarter maintenance decisions. Given the amount of data available in today’s digital age, predictive analytics should be a key component in every maintenance strategy, yet surveys continue to show that most maintenance is reactive. A proactive plan gives maintenance and operations personnel early warning of imminent problems so action can be taken in a timely and focused manner.
“In an environment where safety, reliability and productivity are vital, it is essential that companies understand the importance of implementing the most effective and comprehensive maintenance strategies,”
The goal of a predictive maintenance approach is to provide early warning signs of an issue so that maintenance can be scheduled at the most convenient times, before unplanned and expensive failures occur. Added benefits of a predictive strategy include reduced maintenance costs, reduced unscheduled downtime, increased asset utilization and extended equipment life, among others.
“Twenty, even ten, years ago, companies had to manually analyze collected data to make decisions, and some businesses are still doing that today. But as more and more utilities implement smart grid technologies and as industrial equipment becomes increasingly intelligent, it makes more sense than ever to use predictive asset analytics software to receive the greatest return on the vast amount of available data,” Kalanik added.
In support of predictive maintenance, InStep Software offers online asset health and performance monitoring software. The software technology, called PRiSM, is a self-learning analytic application for monitoring the real-time health of critical assets. PRiSM uses artificial intelligence, pattern recognition and sophisticated data mining techniques to determine when a piece of equipment is performing poorly or is likely to fail. PRiSM also includes an alarm manager to provide near real-time updates of how well an asset is functioning in addition to an advanced application for identifying why an asset is not performing as expected.
To learn more about predictive maintenance software solutions, please download the complete white paper from the Instep Software website (http://www.instepsoftware.com/
About InStep Software, LLC
InStep Software is a leading provider of real-time performance management and predictive asset analytics software products and solutions. InStep extends the investment in modern control, monitoring and smart devices by collecting, archiving, displaying, analyzing and reporting the information provided by these systems. Many of the world’s most successful companies use InStep’s software products to actively manage and analyze the rapidly growing amount of real-time operational, asset health and regulatory related information.