The present invention provides a monitoring method for a plate billet crank flying shear process, including: acquiring a control signal of a control system of a crank flying shear device, and determining a cutting stage of the crank flying shear process according to the control signal; obtaining an actual cutting edge speed curve in the cutting stage, and further dividing the cutting stage into multiple sub-processes according to the actual cutting edge speed curve; obtaining actual data of a parameter related to the crank flying shear process, and for one or more of the multiple sub-processes, separately comparing the actual data of the parameter with typical data of the parameter, in order to estimate an abnormality risk.

A calibration bracket (100), comprising: a base (10); a stand component (20) connected to the base (10); a cross beam component (30, 30′) mounted to the stand component (20) and used for mounting a calibration element, which is used for calibrating an advanced driver assistant system of a vehicle; and a rotating component (40) mounted between the stand component (20) and the base (10), and used for driving the stand component (20) to pivot about a central axis of the stand component (20) relative to the base (10) so as to adjust an angle of rotation of the cross beam component (30, 30) relative to the central axis of the stand component (20). According to the structure, an angle of rotation of the cross beam component (30, 30′) relative to the central axis of the stand component (20) can be adjusted, so that the rotation of the cross beam component (30, 30′) is free from the mounting position. The calibration bracket is simple in structure, and convenient to carry.

The invention relates to a method for determining a damage state of components, wherein damage states are determined for a component on the basis of operating states of an overall system that comprises the component by determining time-normalised stress collectives and/or load collectives for each operating state (ZBB), wherein, by means of the time-normalised stress collectives and/or load collectives for each operating state (ZBB) the damage state is determined for the component on the basis of operating states of the overall system that have occurred, and/or the prospective damage state is determined on the basis of predicted prospectively occurring operating states of the overall system that comprises the component, and/or the damage state is determined for a further component, designed similarly to the aforementioned component, depending on operating states that have occurred of a further overall system, which comprises the further component and is designed similarly to the aforementioned overall system, and/or the prospective damage state is determined on the basis of predicted prospectively occurring operating states of the further overall system that comprises the further component.

The invention relates to a method for determining a damage state of components, wherein damage states are determined for a component on the basis of operating states of an overall system that comprises the component by determining time-normalised stress collectives and/or load collectives for each operating state (ZBB), wherein, by means of the time-normalised stress collectives and/or load collectives for each operating state (ZBB) the damage state is determined for the component on the basis of operating states of the overall system that have occurred, and/or the prospective damage state is determined on the basis of predicted prospectively occurring operating states of the overall system that comprises the component, and/or the damage state is determined for a further component, designed similarly to the aforementioned component, depending on operating states that have occurred of a further overall system, which comprises the further component and is designed similarly to the aforementioned overall system, and/or the prospective damage state is determined on the basis of predicted prospectively occurring operating states of the further overall system that comprises the further component.

The present invention discloses a pump for measuring a pressure of fluid to be transferred, a fluid transport system using the same, and a method for operating the system. The pump includes a pumping portion alternately generating a positive pressure and a negative pressure; a first diaphragm which is provided on one side of the pumping portion and of which a shape is changed as the positive pressure and the negative pressure are alternately generated; a transport chamber which sucks and discharges a transport target fluid corresponding to the deformation of the first diaphragm; a second diaphragm which is provided on the other side of the pumping portion; a monitoring chamber which is provided on one side of the second diaphragm and of which a pressure changes corresponding to the deformation of the second diaphragm; and a pressure measuring portion measuring a pressure change of the monitoring chamber.

The present invention discloses a pump for measuring a pressure of fluid to be transferred, a fluid transport system using the same, and a method for operating the system. The pump includes a pumping portion alternately generating a positive pressure and a negative pressure; a first diaphragm which is provided on one side of the pumping portion and of which a shape is changed as the positive pressure and the negative pressure are alternately generated; a transport chamber which sucks and discharges a transport target fluid corresponding to the deformation of the first diaphragm; a second diaphragm which is provided on the other side of the pumping portion; a monitoring chamber which is provided on one side of the second diaphragm and of which a pressure changes corresponding to the deformation of the second diaphragm; and a pressure measuring portion measuring a pressure change of the monitoring chamber.

A manufacturing process monitoring apparatus capable of determining a manufacturing process is anomaly, without requiring any threshold value for determining the as anomaly is provided. The manufacturing process monitoring apparatus includes a data conversion unit configured to convert process data of a manufacturing facility, a feature value analysis unit configured to analyze the converted data based on information on feature values, a data restoration unit configured to restore data for each of a plurality of categories based on the information on the feature values and information on the analyzed result, a similarity calculation unit configured to calculate a similarity for each of the plurality of categories based on the data used when being analyzed and the restored data, a category determination unit configured to determine a category of the data based on the similarity for each of the plurality of categories, a category classification unit configured to classify the category to which the process data belongs, and a process state diagnostic unit configured to diagnose a state of the manufacturing process based on a result of comparison between the determined category and the classified category.

A rotation operation detection mechanism that includes a housing, an operation surface disposed on a first main surface of the housing, operation units formed integrally with the housing and protruding on the operation surface side, and a sensor that detects a stress generated in the housing when the operation units are rotated.

A failure diagnosis system includes a sensor that is provided in a diagnosis target device and detects diagnosis target information of the diagnosis target device, an abnormality determination unit that determines whether or not an abnormality occurs in the diagnosis target device based on the diagnosis target information detected by the sensor, a storage unit that stores a site of the diagnosis target device where the abnormality determination is possible and a sensor installation location where a sensor needs to be installed for the abnormality determination of the site, a designation reception unit that receives designation of a site where the abnormality determination is performed, and a presentation unit that executes predetermined presentation processing. The presentation processing by the presentation unit includes processing of presenting the sensor installation location where the sensor needs to be installed to perform the abnormality determination of the designated site.

A system may comprise a device. The device may be configured to receive, from one or more sensor devices of the machine, sensor data associated with wear of one or more components of an undercarriage of the machine; and predict, using a machine learning model and the sensor data, an amount wear of the one or more components based on a wear rate of the one or more components. The machine learning model is trained, using training data, to predict the wear rate of the one or more components. The training data includes two or more of: historical sensor data, historical inspection data, or simulation data, of a simulation model, from one or more third devices. The device may perform an action based on the amount of wear.