Detection Method for Non-Stationary Oscillations in Process Plants
چکیده
Persistent oscillations are a common problem in process plants since they cause excessive variation in process variables and may compromise the product quality. This paper proposes a method for detecting oscillations in non-stationary time series. The method is based on the statistical properties of zero-crossings and it removes the non-stationary trend component from a signal before applying an oscillation detection procedure. The properties and performance of the method are studied using simulation experiments, a comparative study using industrial benchmark data, and tests with paperboard machine data.