The use case is relative to flight test helicopters vibration measurements. The dataset has been collected and released by Airbus SAS. A main challenge in flight tests of heavily instrumented aircraft (helicopters or airplanes alike) is the validation of the generated data because of the number of signals to validate. Manual validation requires too much time and manpower. Automation of this validation is crucial.

In this case, different accelerometers are placed at different positions of the helicopter, in different directions (longitudinal, vertical, lateral) to measure the vibration levels in all operating conditions of the helicopter. The data set consists of multiple 1D time series with a constant frequency of 1024 Hz taken from different flights, cut into 1 minute sequences.

We are interested in the detection of abnormal sensor behaviour. Sensors are recorded at 1024Hz and we provide sequences of one-minute length.

Each CSV has 61440 columns corresponding all time steps contained in one minute at 1024Hz and are named from 0 to 61339.