A fuel injector testing machine is provided. The machine includes a head unit having a flow meter, and a fuel injector holding assembly. The head unit and/or the fuel injector holding assembly can be moved relative to each other, allowing the head unit to test a subset of fuel injectors held on the fuel injector holding assembly, and subsequently can test another subset of the fuel injectors via movement of the head unit and/or fuel injector holding assembly.

A touch control test device and a touch control test method are provided, and the touch control test device includes: a telescopic mechanism with an adjustable length; a touch control component connected to the telescopic mechanism so that the telescopic mechanism is configured to drive the touch control component to tap the touch screen; an acquisition unit configured to acquire an actual detection coordinate point where the touch control component taps the touch screen; a calculation unit configured to calculate a touch control coordinate error between a target coordinate point corresponding to the actual detection coordinate point where the touch control component taps the touch screen and the actual detection coordinate point. The touch test device can achieve a tap touch control test of the touch screen.

A method is provided including the steps: —first excitation of the object via a multifrequency signal; —detecting a first response signal of the object at one or multiple measuring points at the object; —transforming the first response signal from a time range into a frequency-dependent range; —selecting one or multiple frequencies, based on the frequency-dependent range; —second excitation of the object based on the selected frequencies; —detecting a second response signal of the object at one or multiple measuring points of the object; —ascertaining a mechanical parameter based on the second response signal.

A method is provided including the steps: —first excitation of the object via a multifrequency signal; —detecting a first response signal of the object at one or multiple measuring points at the object; —transforming the first response signal from a time range into a frequency-dependent range; —selecting one or multiple frequencies, based on the frequency-dependent range; —second excitation of the object based on the selected frequencies; —detecting a second response signal of the object at one or multiple measuring points of the object; —ascertaining a mechanical parameter based on the second response signal.

A virtual driving system for efficiently testing an interlock operation is provided. The virtual driving system comprises an optical cable installed on a rail; a transport cart for driving in place on the rail and communicating with the optical cable; a first collision avoidance control unit set to correspond to a first virtual path of the transport cart; a second collision avoidance control unit set to correspond to a second virtual path different from the first virtual path of the transport cart; a signal line distribution unit for selectively connecting any one of the first collision avoidance control unit and the second collision avoidance control unit to the optical cable; and a simulator for controlling the first collision avoidance control unit, the second collision avoidance control unit, and the signal line distribution unit according to an operation scenario of the transport cart.

A virtual driving system for efficiently testing an interlock operation is provided. The virtual driving system comprises an optical cable installed on a rail; a transport cart for driving in place on the rail and communicating with the optical cable; a first collision avoidance control unit set to correspond to a first virtual path of the transport cart; a second collision avoidance control unit set to correspond to a second virtual path different from the first virtual path of the transport cart; a signal line distribution unit for selectively connecting any one of the first collision avoidance control unit and the second collision avoidance control unit to the optical cable; and a simulator for controlling the first collision avoidance control unit, the second collision avoidance control unit, and the signal line distribution unit according to an operation scenario of the transport cart.

In general, various aspects of the techniques enable predictive modeling for forged components. A computing device comprising a memory and a processor may be configured to perform the techniques. The memory may store a trained machine learning model that associates training features extracted from data representative of a plurality of training forged components to a plurality of training model results. The memory may also store data representative of a target forged component. The processor may perform a geometrical analysis with respect to the data representative of the target forged component to extract target features, and apply the trained machine learning model to the target features to obtain predicted model results for the target forged component. The processor may also output the predicted model results.

In general, various aspects of the techniques enable predictive modeling for forged components. A computing device comprising a memory and a processor may be configured to perform the techniques. The memory may store a trained machine learning model that associates training features extracted from data representative of a plurality of training forged components to a plurality of training model results. The memory may also store data representative of a target forged component. The processor may perform a geometrical analysis with respect to the data representative of the target forged component to extract target features, and apply the trained machine learning model to the target features to obtain predicted model results for the target forged component. The processor may also output the predicted model results.

A method can include receiving time-dependent vibration data characterizing a vibration of a machine. The method can also include generating first conditioned vibration data by at least identification of one or more vibrational peaks of intermediate data representative of the received vibration data, temporal interpolation of one or more portions of the intermediate data including the identified one or more vibrational peaks, and widening the one or more vibrational peaks. The method can further include generating a frequency spectrum based on the first conditioned vibration data. The method can also include providing the frequency spectrum to a user.

The invention relates to a method for monitoring operating parameters of an actuator (10), wherein the method comprises: providing the actuator (10), providing at least two detection units (26, 28, 30, 32, 34, 36) which are designed to detect different operating parameters of the actuator (10), detecting operating parameters of the actuator (10) via the detection units (26, 28, 30, 32, 34, 36), outputting data relating to the measured operating parameters to an evaluation unit, combining the measured operating parameters into a state information, which indicates whether or not the technical state of the actuator (10) is in a predetermined standard state.