Any industry that monitors the health of their equipment and processes with either on-line or batch sampling can benefit from the use of Process Data Miner. Whether your goal is to detect the patterns that are early indicators of process and equipment problems or you simply want to better understand the underlying trends in your data, Process Data Miner is the solution.

The power of process data mining comes from learning directly from the plant’s own data. When an equipment problem develops, the early warning signs are difficult to detect in real time. Until now there was no easy way of capturing the patterns in the data that can be used as an early indicator of equipment or process problems. Process Data Miner not only learns these patterns in your data, but also recognizes them the next time they occur so that corrective actions can be taken before the problem escalates.

For more information, please contact us to determine how Process Data Miner can be applied to your data analysis problem.  To see how Process Data Miner can  be used for Predictive Condition Monitoring and Knowledge Management please read the White Paper below:

Predictive Condition Monitoring and Knowledge Management in Power Systems