Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

A test piece (10) for testing a washing performance of an industrial washing machine includes a first side element (11) with at least one first plane surface (21) and also a second side element (12) with at least one second plane surface (22). The first side element (11) is connectable to the second side element (12) so that the first plane surface (21) faces the second plane surface (22). The first plane surface (21) includes first bores (31), and the second plane surface (22) includes second bores (32). When the first side element (11) is connected to the second side element (12), the first bores (31) are arranged in axial extension of the second bores (32), and a plastically deformable foil (40) is disposed between the first plane surface (21) and the second plane surface (22).

A cloud diagnostic system and a method of operating the same to diagnose or predict potential fault conditions in an appliance includes obtaining, at a remote server, a first data stream from the appliance through the external communication network at a first data density (e.g., in megabytes/sec). The method further includes analyzing the first data stream to determine a data anomaly or potential issue exists. The remote server may request that the appliance transmit a second data stream at a second data density that is greater than the first data density and may analyze the second data stream using complex, higher resolution machine learning models to diagnose a potential fault condition for the appliance.

A robot has brake and accelerator actuating levers (9, 10) and a rotary actuator (12) between them. A drive ring (16) is fast with an actuator drive member (14) and between them they captivate a journal bearing (17) for the brake actuating lever (9) on which a return spring (19) acts. Advance of the lever is via a cam member (31) adjacent it. Wherever the output drive member (14) from the rotary actuator is turned, the cam member is rotated correspondingly. For brake application, the drive member (14) is driven, clockwise in FIG. 2. For brake release, and accelerator application, the drive member is driven back and the cam member is disengaged from the lever (9) with unidirectional freedom. The drive ring (16) is carried on a central ‘clutch’ member (35). The central member (35) is journalled in a fixed clutch member (36), which carries a clutch operating winding (38) for clutching together the central member (35) and an accelerator drive member (39) journalled on the central member. A central drive shaft (41) is fast with the accelerator drive member (39) and passes through the length of the rotary actuator. When the winding is energised, rotation of the output drive member (14) is transferred to this central drive shaft (41) for the accelerator actuating lever (10) as well.

A data display method of a test instrument for a rivet nut setting tool is disclosed. When the rivet nut setting tool is operated, a value of a pull force detected by the pull-force detector is transmitted to the first display area through a circuit module, and a first display area displays variation of the value of the detected pull force in waveform, and the first display area also displays an upper-limit waveform value, a waveform data unit, a current value and a historical maximum value; when the rivet nut setting tool is operated continuously, the first display area displays a continuous waveform, and the second display area displays historical data and average values of maximum pull force values.

An anomaly degree calculation device 200 includes an anomaly degree calculation unit 201 that calculates an anomaly degree on a basis of a feature amount extracted from target data that is a calculation target of the anomaly degree. The anomaly degree calculation unit 201 calculates the anomaly degree on a basis of a similarity degree of the target data and registration data registered in advance. The similarity degree is calculated in consideration of a degree to which a frame constituting the target data and a frame constituting the registration data are similar to each other.

An evaluation method and an evaluation device for evaluating a health state of well site equipment, and a storage medium are provided. The evaluation method for evaluating the health state of the well site equipment includes: obtaining operating parameters of a component to be tested of equipment to be tested in at least one dimension, the at least one dimension including an operating data dimension, an environmental data dimension, and a maintenance data dimension; obtaining evaluation values of a health state of the component to be tested in various dimensions based on the operating parameters of the various dimensions; obtaining a comprehensive evaluation value of the health state of the component to be tested based on the evaluation values of the health state of the component to be tested in the various dimensions.

An electronic system comprising an appliance interface and an electronic device couplable to the appliance interface is disclosed. The appliance interface comprises at least one primary appliance terminal, a reference appliance terminal, and a dielectric region separating the at least one primary appliance terminal and the reference appliance terminal. The electronic device comprises at least one primary device terminal configured to connect to the at least one primary appliance terminal, and a reference device terminal configured to connect to the reference appliance terminal. The electronic device is configured to generate and apply an electrical reference signal to the reference appliance terminal and to detect an electrical primary signal from the at least one primary appliance terminal. Further, the electronic device is configured to compare the primary signal with the reference signal, and, in accordance with at least a component of the primary signal being identical to the reference signal, determine that liquid is present in the appliance interface. Thereby, the electronic system can detect a presence of liquid in the appliance interface: only through the presence of (electrically conducting) liquid in the appliance interface can the primary signal, or a component thereof, be identical to the reference signal. The present disclosure further provides a method for detecting presence of liquid in an appliance interface, an appliance interface, and a medical device comprising the electronic system.

There is provided a technique that includes abnormality detecting by picking up a sound generated from a transfer configured to be capable of transporting the substrate and comparing a waveform of sound data with a preset threshold value to detect an abnormality of the transfer; and failure detecting by picking up vibration of the transfer and comparing a waveform of vibration data with a preset threshold value to detect a failure of the transfer.

A horizontal jet-mechanical combined rock breaking test device and method. The device includes a horizontal base. One end of the horizontal base is provided with a multi-mode cutter head. A jet-mechanical combined cutter is provided on the multi-mode cutter head. The other end of the horizontal base is provided with a surrounding rock stress simulation bin for loading a rock sample. The multi-mode cutter head is connected to a driving mechanism, and the multi-mode cutter head is configured to advance and rotate horizontally along the horizontal base under the action of the driving mechanism, so that the jet-mechanical combined cutter is capable of acting on the rock sample.