About predictive maintenance: Thanks to predictive maintenance, you’ll get real-time data on the condition of your assets. And with SLAs on every aspect of your service, you’ll be confident your assets are in great shape. Predictive maintenance makes it possible to schedule maintenance in advance to maintain the optimum condition of an asset, thus ensuring that the asset’s performance meets or even exceeds defined targets. Next-generation predictive maintenance solutions are gaining traction, providing organizations with asset health and performance assessments that inform smarter operations. A critical aspect of managing assets—such as machinery, complex assembly systems, or buildings—is ensuring continuous operation. Predictive maintenance helps you improve asset availability and performance while reducing unexpected downtime.
Your business is growing, your operations are more complex, and you and your teams need to be informed about the condition of your assets. With predictive maintenance software, you can monitor the performance of your assets in real-time, and make timely investments to maximize uptime.
What if you knew when your car needed maintenance before the engine light came on? IFPM Institute can give you this kind of insight into things like your car or forklift. Using a connected sensor, we will help you monitor critical machines, letting you know their health immediately and guiding you to manage them accordingly.
Applications of predictive maintenance:
Predictive maintenance applications are growing rapidly in almost every industry.
Predictive maintenance is a proactive form of maintenance that seeks to reduce the likelihood of equipment failure, and speed up recovery time in case of failures. Predictive maintenance relies on the use of sensors to monitor equipment health, as well as computer applications to analyze this data and assist in decision-making. Predictive maintenance has many benefits over a reactive approach when used for large manufacturing facilities with substantial amounts of heavy machinery. Overall, the biggest application of predictive maintenance is in the manufacturing sector.
The manufacturing sector is the largest user of predictive maintenance. With the help of predictive technology, manufacturers can minimize downtime and potential loss due to failures.
Approximate 57% of manufacturing companies are using predictive maintenance today.
In the case of many infrastructures (such as highways), there is a limited budget to maintain these assets until they have exceeded their useful lifespan and must be repaired or replaced. Inspectors must use data from predictive maintenance technology to make better decisions about preventative maintenance, routine maintenance, and capital replacements.
Predictive maintenance software helps you manage costs, equipment availability, and customer service. Process control is a vital component of predictive maintenance. Using thermal imaging, Wirth Consulting Solutions can detect energy loss at key positions on the manufacturing line.
Benefits of predictive maintenance definition
Predictive maintenance helps make the entire plant easier to maintain. The two main benefits are better control of operating expenses (O&M) and reliability. Predictive maintenance (PM) employs sophisticated algorithms, computer modeling, and simulation, to analyze equipment data and identify areas of potential failure. Then PM software notifies plant personnel when specific equipment is about to break down for preventative maintenance. This reduces major breakdowns, guarantees higher reliability, lowers operating costs, and prevents catastrophic failures.
Predictive maintenance helps you protect your assets, reduce the time they’re out of service, and increase their lifespan. Machine, equipment, and component condition monitoring have been in widespread use for many years and are now being supplemented with advanced predictive maintenance methods such as condition-based maintenance that is performed based on statistical calculations, pattern recognition algorithms, and artificial intelligence computations involving a large number of different attributes.
Predictive maintenance can be used to identify potential equipment problems before they occur. It has been proven to save time and money in detecting developing issues, allowing repairs to be scheduled before the actual failure. Predictive maintenance includes all components of a program, from monitoring equipment for symptoms that might predict failure, to removing the equipment from service before it fails.
The objective of PdM is to use strategically designed information inputs (information technology) to predict failures and issues before they occur to take appropriate corrective actions.
Using predictive maintenance, problems with equipment can be identified and resolved before they get worse, increasing productivity and eliminating costly surprise breakdowns. Predictive maintenance involves using operational and diagnostic data to minimize equipment downtime, improve reliability, and reduce costs.
Wrapping up: Predictive maintenance is one of the most important trends in the manufacturing industry. It allows for the product to be inspected in real-time to ensure that maintenance is required before production or efficiency is impacted
