A method for detecting an anomaly in time series sensor data. The method may include identifying a noisiest cycle from the time series sensor data; for an evaluation of the noisiest cycle indicative of the anomaly being detected at a confidence level above a threshold, providing an output associated with the noisiest cycle as being the anomaly; and for the evaluation of the noisiest cycle indicative of the anomaly being detected at the confidence level not above the threshold: identifying a cycle from the time series sensor data having a most differing shape; and providing the output associated with the cycle having the most differing shape as being the anomaly.

A digital filter setting device, a control method of the digital filter setting device, and a recording medium are provided. Filter characteristics of a digital filter after parameter setting are easily recognized by a user. A digital filter setting device (1) includes: a parameter setting part (11) receiving input of filter parameters; a step response time calculation part (14) calculating a step response time of the digital filter in a case that the filter parameters are set; and a graph generating part (12) displaying the calculated step response time in the form of graph.

Various embodiments of the teachings herein include a method of detecting faults in a structure. An example method includes: obtaining from an actuator a first signal indicative of a test operating mode and from a first and second sensor respective signals indicative of a time series of test readings; producing a test operating mode in response; searching for the test operating mode in a first list, and searching for sensors in a second list; if the test operation mode is in the first list and sensors are in the second list, determining a test numerical measure between the first time series and the second time series, including a predefined constant when the first time series matches the second and otherwise deviating from the predefined constant; and determining a test deviation of the measure from the predefined constant, and if the deviation exceeds a threshold, producing a fault.

A digital measurement input for an electric automation device has a receiving device configured to receive digital input measurement values generated by sampling an analog measurement signal at a first sampling rate, and a signal converting device configured to generate digital output measurement values from the digital input measurement values and to provide digital output measurement values. The sampling rate and sampling times of each digital output measurement value is adapted to a specified sampling rate and/or specified sampling time. The signal converting device has a digital encoder filter on the input side and a digital decoder filter on the output side, between which an interpolator is provided. The encoder filter, the interpolator, and the decoder filter are matched to one another so as to adapt the sampling rate and/or sampling time of the digital input measurement values.

A method for detecting an anomaly in time series sensor data. The method may include identifying a noisiest cycle from the time series sensor data; for an evaluation of the noisiest cycle indicative of the anomaly being detected at a confidence level above a threshold, providing an output associated with the noisiest cycle as being the anomaly; and for the evaluation of the noisiest cycle indicative of the anomaly being detected at the confidence level not above the threshold: identifying a cycle from the time series sensor data having a most differing shape; and providing the output associated with the cycle having the most differing shape as being the anomaly.

A first wire connects a control device to a cable, and supplies a first power signal provided by the control device to the cable. First and second nodes are provided in the first wire. A second wire connects a driving device to the cable, and supplies a first power signal transmitted from the cable to the driving device. Third and fourth nodes are provided in the second wire. A power supplier is connected to the first node and supplies a second power signal. A power receiver is connected to the third node, and provides a second power signal supplied by the power supplier to a detection device. A first communication circuitry is connected to the fourth node. A second communication circuitry is connected to the second node, and transmits a communication signal to or receives a communication signal from the first communication circuitry.