In manufacturing, machine, energy companies and all the various industries preventive maintenance is already popular, but predictive maintenance has its own set of values that it delivers to companies too.
Preventive maintenance is triggered by time, events, or meter readings. The age of a piece of equipment in addition to manufacturer service recommendations is also taken into consideration for preventative maintenance. Another way to say preventive maintenance is planned scheduled maintenance. However, this time-based maintenance approach may not accurately reflect the usage of a piece of equipment, and could lead to unnecessary maintenance fixes regardless of the actual state of the equipment or parts.
On the other hand, condition monitoring, also known as Predictive Maintenance (PdM) is based on the actual condition of the equipment rather than time or age factors. It is used to predict machine failures before they occur, that could lead to unplanned downtime or unnecessary expenditures, and also gives company enough time to schedule a future service appointment in advance. This allows field service technicians the opportunity to service the machine and prevent the failure before it actually occurs. Generally speaking, you must conduct this while the equipment is in normal operation, with little to no process interruption. The purpose of these tools (vibration analysis, infrared thermography, motor circuit analysis, etc.) is to find defects not possibly found through previously available inspections methods, specifically while the machine is in normal operation. Taking advantage of the available technology lets you accurately assess the condition of parts and the presence of defects heretofore impossible to detect.
For Predictive Maintenance, various advanced techniques including infrared thermal imaging, vibration analysis, and oil analysis can be used to predict failures. For example, if your business uses mechanical equipment and electrical systems, thermal infrared imaging can scan, visualize, and analyze the equipment’s temperature. You can literally see which parts on the equipment are “running hot,” which is invaluable information to both manufacturers and field service technicians.
Driven by predictive analytics, these solutions detect even minor anomalies and failure patterns to determine the assets and operational processes that are at the greatest risk of problems or failure. This early identification of potential concerns helps you deploy limited resources more cost effectively, maximize equipment uptime and enhance quality and supply chain processes, ultimately improving customer satisfaction.
Predictive Maintenance solutions can help your organization:
- Reduce Unscheduled Downtime
- Prevent Equipment Failures
- Reduce Maintenance Costs
- Increase Asset Utilization
- Extend Equipment Life
- Identify Under-performing Assets
- Improve Safety
While the investment into a predictive maintenance program can be costly to install, it results in reduced maintenance costs and downtime and delivers 10 times the ROI.
Our Predictive Maintenance solution makes it possible to minimize the cost and duration of shutdowns for maintenance, by scheduling and targeting the necessary work. Our innovative solution includes:
- real-time monitoring system for the most critical machines, embedding smart monitoring methodology,
- wireless sensors for the monitoring of inaccessible machines,
- portable data collector, enhancing the productivity of measurements and analysis.
All machine data is processed through a single interface, providing a unique and user-friendly overview of an entire factory.
Start increasing your ROI today by preventing asset failure, detecting quality issues and improving operational processes!