Investigating further, the engineer also noticed early warning signs on the motor amperage signal. Without a way to view the start-ups back-to-back, the motor degradation had gone unnoticed by operations.
As a result of the root cause analysis, the process engineer implemented a monitoring solution to prevent future motor degradation from going unnoticed and causing similar unplanned shutdowns. When an out-of-tolerance value appears, the compressor motor is now immediately added to the maintenance work list for the next planned shutdown, a proactive maintenance approach that is expected to eliminate unplanned shutdowns due to this failure mode.
Cloud-based analytics applications empower process manufacturers to significantly reduce new software implementation time so they can deliver products to end users faster, while improving quality and reducing infrastructure and maintenance costs. Using point-and-click interfaces for descriptive, diagnostic, predictive, and prescriptive analytics, these platforms fulfill the needs of a range of SMEs—including engineers, operators, and data scientists—in a multitude of industries to derive the insights needed to operate efficiently and optimize effectively.