Christopher Jackson, Applications Engineer, Centrotherm Clean Tech Inc
Troubleshooting faults in industrial equipment can be a daunting task, particularly when compounded by the time constraints of a high-volume production line or plant. Analysis is further complicated in equipment with multiple operating modes, where issues may be visible in one mode but masked in another due to differences in operating parameters. The data generated by SCADA (Supervisory Control and Data Acquisition) or networked IoT equipment and sensors in a modern plant can provide a rich source of information for both fault troubleshooting and monitoring change assessment. However, the sheer volume of data for even a single piece of equipment requires complex analysis to be made intelligible for the engineer or technician.
This presentation elucidates a selection of examples using JMP for exploration and visualization of abatement equipment operating parameters for fault identification and engineering change assessment. Basic data visualization was used to identify physical phenomena happening within the abatement system to assess the root cause for fault troubleshooting. More advanced analyses, including clustering and variability charts, were used to identify issues related to specific operating modes and to assess the impact of engineering changes.
