Root Cause Analysis of undesired asset behaviour

Use Case

Root cause analysis of undesired asset behavior

Problem:

Unexplained problem causes expensive production loss

Stoppages or other kinds of undesired behavior of important assets may cause expensive production losses and need to be fixed as soon as possible. Moreover, it is critical to understand why such problems occur and how to prevent them in the future. If the root cause cannot be found by intuition, however, searching large amounts of process data for potential hints can be very time consuming with spreadsheet software such as Excel. Simple charts and reports are often inappropriate to cover the numerous potential reasons that could lead to the problem.

Solution:

Guided visual analysis of many process time series

Visplore makes it straightforward to select periods before the undesired asset behavior started, and to analyze and compare these periods in detail. High-performant visualizations reveal any type of pattern. Moreover, Visplore automatically guides the engineer to suspicious process time series that show changes in their characteristics around or before the beginning of the problem. With a simple click on a sorted list, users may instantly inspect suspicious time series in any depth. This helps to identify and validate also unexpected causes within minutes even in case of hundreds of process time series. For particularly challenging problems, innovative process visualizations visually relate dozens of time series simultaneously and can reveal how anomalies propagate along the process. Engineers may even compute time series that compensate for lags or other complexities.

Result:

Fast explanation for rapid corrective actions

The guided, interactive visual analysis reduces the effort for root cause analytics to minutes in many cases. The intuitive user interface speeds up the check for expected causes and the guided analytics even reveals unexpected correlations. This means that appropriate corrective actions can be taken sooner, reducing impacts such as downtime and thus costs. Having the process experts themselves diving deep into the data also generates important knowledge for devising strategies to avoid the problem in the future.

Root cause analysis of undesired asset behavior

Unexplained problem causes expensive production loss

Guided visual analysis of many process time series

Fast explanation for rapid corrective actions

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