Find emerging equipment drift
Compare live behavior against the equipment’s learned healthy profile, isolate the signals contributing to a deviation and give an engineer a clear starting point for review.
Use cases
SWAPP supports the recurring questions behind safe, reliable industrial operations. These are representative product workflows, not claims about a particular operator, asset fleet or financial outcome.
Compare live behavior against the equipment’s learned healthy profile, isolate the signals contributing to a deviation and give an engineer a clear starting point for review.
Bring vibration trends, health indicators, anomaly signals and frequency-domain views together when a mechanical signature needs closer attention.
Explore operating behavior, reference patterns and forecast context to determine where a performance question warrants investigation.
Locate the relevant signals and equipment history, narrow the time window and take an evidence-based view into a review or analysis workflow.
A strong operating workflow preserves the link between the broad operational picture, the evidence behind a finding and the people who need to review it.
SWAPP combines specialized views without fragmenting the operational story.