Time Series Analysis

Analyzing development over time

Identifying structures

The aim of time series analysis is to identify patterns and regularities in the development of measurement signals over time with the objective of a better understanding of the processes that the data is based upon, recognizing anomalous behavior, and predicting the time sequence of signals. Since the measurements of a time series are influenced by many factors, many of which are unknown or whose effects are too complex, stochastic models are used to model the time sequence of the signals.

Time series analysis methods

There are many different methods for analyzing time series. These include smoothing processes which replace random measurements of a signal with corrected approximations. With the Fourier transform, the time series is broken down into its frequency spectrum, which can be investigated to see which frequency components the signal contains. With the help of regression methods it is possible to determine time trends and seasonal influences and with recurrent neural networks it is possible to predict the development of non-linear dynamic systems over time.     

Determining the optimum maintenance time

In addition to real-time anomaly recognition in sensor data, long-term prediction of the development of relevant key variables over time also plays a key role. Key variables could be, for example, a machine’s performance or its oil quality. If the development of these key variables over time can be predicted with sufficient accuracy, spare parts can be ordered on time and service technicians can be scheduled for maintenance. This helps to prevent costly downtimes.

Prediction approaches based on a linear extrapolation of measured variables can lead to highly inaccurate predictions. The approaches developed by us are based on machine learning approaches. They offer improved predictions with additional information regarding the uncertainty of the prediction.

Your benefit from the time series analysis

Recognize errors
in good time


maintenance costs

smart services

Any questions? We are happy to help.

Katana is your big data analytics expert for Industry 4.0 applications. With the help of the very latest cloud technology and the expertise of our own data scientists and data engineers, we facilitate fast, highly flexible analysis of your industrial data and the operationalization of profit-generating smart services in your company’s system landscape. Contact us and team up with a strong partner to transform your digitalization plans into a reality.