AI VISIONS

Smart Data Driven Prognostics and Predictive Maintenance

Technical systems embed more and more sensors and calculators making it possible to monitor their health. We are moving from reactive maintenance strategies to condition-based and predictive ones. In addition, installations, infrastructures and critical infrastructures are ageing globally.

The problem of their maintenance and their lifetime extension is arising. These issues can be reasonably addressed by a joint use of relevant methodologies related to condition monitoring, data driven prognostics and maintenance optimization.

In predictive maintenance, assets are watched over regularly to see their performance, and data is collected. It helps in key performance indicators and condition monitoring. The end goal is to achieve efficiency and decrease maintenance expenses.

1. Condition Monitoring
All assets have some issues; condition monitoring helps in identifying those issues as it can assist by revealing the exact reason for asset failure and when asset reliability increases it helps in business growth. Furthermore, condition monitoring can assist in predicting future anomalies. This tool can help in improving equipment dependability.

2. Maintenance Logs
When you have a lot of data you can filter, analyze the maintenance logs of each asset. However, you will need lots of equipment of the same or similar type. With the help of automated software, you are informed and make better decisions. Maintenance logs also assist in finding out which asset is taking more maintenance than required. Which type of activities are occurring in maintenance such as part replacement etc. With these types of records, you can know how long inventory (specific part) works once it is installed.

3. Data Reports
One of the most important tools used in predictive maintenance is reports based on data. These reports contain crucial information and details that are helpful in understanding the asset and predict asset performance, breakdown, etc.

With the help of the predictive maintenance reports tool, you will notice decreased maintenance iteration furthermore their maintenance work is also reduced. As a result, overall downtime is decreased and asset performance will increase as well.

4. Asset Meter Reading
here are some types of equipment that need to break at regular intervals or after a certain time, it starts to heat. Many assets come to maintenance for this reason only. Sometimes it is hard to keep track of how long equipment is working thus this with this preventive maintenance software tool you get alert and you can stop the machine and avoid breakdown.