Because Sygnology's methods are designed to be effective even with slow collection rates or data compression for archiving, we can perform historical analyses to detect past wear and damage using data you already have. By processing past data, Sygnology can validate or identify past physical damage and failure modes and work to create a predictive model of possible future failures due to equipment damage.
What is Historical Analysis?
Historical data analysis is crucial for equipment condition monitoring as it allows for the identification of patterns and trends in the performance of equipment over time. By collecting and analyzing data from equipment over a past period, including information on equipment performance, maintenance records, and sensor data, patterns and trends can be identified that can provide insight into the current and future state of the equipment. Sygnology uses this information to predict when equipment is likely to fail, allowing for proactive maintenance to be scheduled, rather than relying on reactive measures.
The Sygnology Advantage
Additionally, Sygnology uses historical data to help understand the varying mechanics of the root causes of past equipment failures, which can help to anticipate, or event prevent, similar failures occurring in the future. Oftentimes this analysis reveals past damage events and modes not previously recognized through empirical means. Overall, our specialized historical data analysis allows for more efficient and effective maintenance of equipment, which can help companies make important strategic decisions about the present and future, lead to cost savings, increased equipment reliability, and improved safety.
Electric Submersible Pumps
We recently employed Historical Analysis to process the lifespans of multiple ESPs, detect instances of backspin, and predict failure due to backflow and other damage modes.
View our Historical Analysis of ESP's