An inspection system of remotely or autonomously inspecting a mobile body movable through unattended operation includes: a processor that generates and outputs a control instruction that causes the mobile body to operate; and executes an abnormality process in a case where a difference obtained by comparing at least two of physical quantities for the mobile body as a target is more than a criterion value, the physical quantities including a first physical quantity related to operation of the mobile body achieved according to the control instruction, the first physical quantity being calculated using the control instruction, a second physical quantity related to the operation, calculated using a detection result from an internal sensor mounted on the mobile body, and a third physical quantity related to the operation, calculated using a detection result from an external sensor positioned outside the mobile body.

The invention relates to various aspects in the production of extrusion products. The properties of extruded articles are dependent significantly, in addition to their formulation, also on the setting variables and in particular on the thus resulting process variables. The setting variables and in particular the process variables thus represent a state of the extrusion process characterized as fingerprint. The thus claimed invention takes into account these facts and supports the operator of a production plant to detect earlier changes in quality and to systematically counteract a deterioration in the quality.

Container-handling facility for handling containers such as cans or bottles or the like in the beverage-processing industry, the container-handling facility compris at least one transport device for transporting the containers and a drone can be brought into the transport device, wherein the drone comprises an acceleration sensor for measuring an acceleration acting on the drone and a pressure sensor for measuring a pressure acting on the drone in the transport device, wherein the drone can transmit data corresponding to a measured acceleration and a measured pressure to a control unit, and wherein the control unit is ed to regulate at least one operating parameter influenc the acceleration of the drone and/or the pressure acting on the drone, ding o a comparison between the data received the drone and nominal values for the operating parameter and/or the acceleration and/or the pressure, stored in a memory.

A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

A method for manufacturing a plurality of components, each of the plurality of components including at least one electrical feedthrough, in which a functional element is fastened in a feedthrough opening in a base body by way of an electrically insulating material, an information being acquired in association with each of the plurality of components, the method comprising the steps of: providing, in one of a plurality of manufacturing steps of the method, each of the plurality of components or one of a plurality of pre-stages of each of the plurality of components with an information store, at least one of (i) the information being stored in the information store, and (ii) an identifier is stored in the information store and the information is stored in a database in association with the identifier.

In some implementations, a test device may initiate a set of measurements by a set of sensors of the test device and of a device under test (DUT), wherein the DUT is a memory device. The test device may obtain the set of measurements of the DUT from the set of sensors based on initiating the set of measurements. The test device may analyze the set of measurements of the DUT, using a first model, to identify one or more defects present with the DUT. The test device may determine, using a second model, that the one or more defects present with the DUT satisfy a failure threshold. The test device may provide, based on the failure threshold being satisfied for the DUT, an output indicating that the failure threshold is satisfied for the DUT.

An abnormality symptom analyzing device comprises: a data request receiver to perform request and reception of data, required for analyzing an abnormality symptom(s), including measurement information obtained from a sensor(s) of a facility, an abnormality symptom(s) detected from the measurement information and inspection information of the facility; a data storage device to store the data acquired by the data request receiver; a coordination circuitry to perform the registration of data to display a screen display component(s) on a display device and the correspondence of data coordinated between screen display components to a screen display component(s) coordinated, and to store information modified according to input contents from an input device, whereby modification contents are coordinated to the screen display components; and a component graphics-drawing management circuitry to acquire data through the coordination circuitry, and to display details information of the facility and propagation information of an abnormality symptom(s) in signals.

In some implementations, a test device may initiate a set of measurements by a set of sensors of the test device and of a device under test (DUT), wherein the DUT is a memory device. The test device may obtain the set of measurements of the DUT from the set of sensors based on initiating the set of measurements. The test device may analyze the set of measurements of the DUT, using a first model, to identify one or more defects present with the DUT. The test device may determine, using a second model, that the one or more defects present with the DUT satisfy a failure threshold. The test device may provide, based on the failure threshold being satisfied for the DUT, an output indicating that the failure threshold is satisfied for the DUT.

A recording system for the automated documentation of defects in semi-finished products, includes at least one measuring device configured to record at least one measured value of a semi-finished product that is processed in the manufacturing plant, and a data processing device, which is connected to the at least one measuring device and which receives the at least one measured value. The data processing device includes: a database in which database entries for documenting defects in the semi-finished product can be saved; a comparison device, which is configured to compare the at least one measured value with predefined range limits and to save the at least one measured value lying outside the range limits in a database entry; and a damage recording device configured to record data on the extent of the damage caused by the defect if the at least one measured value is outside the range limits.

A method for generating a digital production quality certificate for a component carrying a machine readable unique identifier undergoing a plurality of manufacturing steps is provided. The method comprises obtaining parameters indicative of the manufacturing steps from one or more sensors for a plurality of monitored manufacturing steps. The obtained parameters are linked with the machine readable unique identifier and one or more quality analyses are performed for a selected monitored manufacturing step based on the obtained parameters for said manufacturing step. A digital quality certificate is generated for the component comprising data related to the results of the quality analyses and the parameters obtained for the component are stored. The disclosure also provides examples of methods and systems of monitoring a manufacturing process.