Abstract: A sensor system with monitoring device wherein the sensor system includes at least two redundant sensors for gathering a process reference variable or process measured variable of a process, and in that the monitoring device includes a first subtractor for producing a first difference between the sensor output signals, a first and a second differentiator for the time derivative of the sensor output signals, a second subtractor for producing a second difference between the differentiated sensor output signals, and a fault analysis device by which the first and the second difference is respectively compared with a predeterminable first or second threshold value, and a fault message is produced when at least one of the differences exceeds the threshold value concerned.

Abstract: A method and device for monitoring a plurality of sensors detecting a process comprising the following steps: detecting time variations of the output signals of the sensors, comparing and testing the variations in view of their plausibility which is determined by the dependencies of the sensor output signals given by the process, and producing an error message (FM) in the absence of plausibility. A preferred application of the present method prevails in an ESP system for vehicles which is controlled by a microprocessor unit, wherein the process is the electronic driving stability program, and the sensors comprise a yaw rate sensor, a transverse acceleration sensor, and a steering angle sensor, and the method is implemented by a subprogram in the microprocessor unit.

Abstract: The present invention relates to a method and a device for monitoring sensors that sense in each case individual reference variables or measured variables (A, B, C) relating to a process (32), which are especially suited for an electronic stability program (ESP) for vehicles. A particularly high degree of reliability is achieved by monitoring the course of the output signals of the individual sensors in a cyclical and sequential fashion in that analytical redundancies are produced from process reference variables and process measured variables (A, B) which are currently not being monitored by means of a multi-process model (31) for a normal operational mode, and a residuum (33) is formed of the redundancies along with the output signal being currently monitored. After evaluation of the residuum (36) and comparison with a threshold value (35), a fault signal (F) is generated when the residuum reaches the threshold value.