The predictive maintenance in Cloud Primero can ideally prevent unplanned reactive maintenance at the lowest maintenance frequency possible using data analysis tools and methodologies so that you can correct them before failure. This results in cost-efficiency without incurring expenditures of preventative maintenance to a large extent.
When predictive maintenance works efficiently, maintenance is done on systems only when required. That is, it is likely that it will occur before failure. This results in many cost reductions, such as reducing the time the product is being monitored, minimizing production hours lost during maintenance, and reducing the costs of replacement components and supplies.
Predictive maintenance programs from Cloud Primero promise higher ROI. In an ideal situation, maintenance cost decreases up to 25%-30%, and downtime decreases by 35%-45%.This results in cost-efficiency without incurring expenditures of preventative maintenance to a large extent.
Here are some of the types of technologies typically utilized in Cloud Primero to provide you a greater insight into
your prediction maintenance possibilities:
This kind of predictive maintenance is extremely popular amongst our industrial clients, as we create programs that can mimic expert workers’ hearing talents to diagnose sound issues.
This strategy to forecast maintenance includes frequent equipment temperature checks to enable the operating conditions to be easily tracked. It may identify “hot spots” on electronic equipment, identify fusions near capacity, location of problematic electricity connections, and more.
Our approach searches and monitors significant variations from the typical vibration of the machine. Typical vibrations should be recorded repeatedly to increase precision so differences can be recognized more easily.
Cloud Primero has a skilled team of business analysts and data scientists to support you in developing predictive models for more intelligent business decisions. Our team has extensive knowledge of data modeling, data collection, statistical techniques, and implementation.
Our company develops solutions that can help you forecast your system’s anomaly behavior before it occurs, making our approach more reactive than preventive maintenance.
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