Abstract: A method is for generating a training dataset for training an artificial intelligence system in order to ascertain an operating state and/or to predict an event timepoint of a hand-held power tool. The method includes providing a plurality of measured values of an operating variable of a hand-held power tool, and identifying an event timepoint within the plurality of measured values. The method also includes arranging a plurality of labeled measured values in a time series based on timestamps of the measured values, and providing a training dataset including the time series of labeled measured values of the operating variable.

Abstract: A method is provided for operating a sensor system having a sensor, an analog-to-digital converter and a digital signal-processing device, an analog signal from the sensor being transmitted to the analog-to-digital converter, the analog signal being converted to a digital signal by the analog-to-digital converter with a sampling frequency, the digital signal being transmitted to the digital signal-processing device, and the analog signal further being transmitted to a clock generator, the sampling frequency of the analog-to-digital converter being controlled by the clock generator as a function of the analog signal.

Abstract: A method is provided for operating a sensor system having a sensor, an analog-to-digital converter and a digital signal-processing device, an analog signal from the sensor being transmitted to the analog-to-digital converter, the analog signal being converted to a digital signal by the analog-to-digital converter with a sampling frequency, the digital signal being transmitted to the digital signal-processing device, and the analog signal further being transmitted to a clock generator, the sampling frequency of the analog-to-digital converter being controlled by the clock generator as a function of the analog signal.