302results about "Registering/indicating quality control systems" patented technology

A technique is provided for designing and evaluating service models for components, functions, subsystems and field replaceable units in a complex machine system. At a component or item level, each model identifies various items, failure modes, and so forth which may be the root cause of anticipated serviceable events or faults. The design tools permit numerous interfaces to be used in the design of service models, and in the evaluation of the degree to which the models address detectability and isolation capabilities for the root causes of serviceable events and faults.

System fault codes, component fault codes, and failure modes may be received at a system. A first level model comprising first level causal relationships and first level causal weights between the system fault codes and the component fault codes may be generated. A second level model comprising second level causal relationships and second level causal weights between the component fault codes and the failure modes may be generated. The first level model and the second level model may be combined to generate a model such as graphical model. One or more causal probabilities may be determined using the graphical model.

The prognostic tool disclosed here decomposes the problem of estimating the remaining useful life (RUL) of a component or sub-system into two separate regression problems: the feature-to-damage mapping and the operational conditions-to-damage-rate mapping. These maps are initially generated in off-line mode. One or more regression algorithms are used to generate each of these maps from measurements (and features derived from these), operational conditions, and ground truth information. This decomposition technique allows for the explicit quantification and management of different sources of uncertainty present in the process. Next, the maps are used in an on-line mode where run-time data (sensor measurements and operational conditions) are used in conjunction with the maps generated in off-line mode to estimate both current damage state as well as future damage accumulation. Remaining life is computed by subtracting the instance when the extrapolated damage reaches the failure threshold from the instance when the prediction is made.

Methods and systems for estimating wear damage of a rolling-element bearing system including at least one rolling-element bearing are provided. A first number of first condition indicators representative of the wear damage of the at least one rolling-element bearing are generated. A second number of second condition indicators are generated based on the first plurality of first condition indicators. The second number is less than the first number an indication of the wear damage of the at least one rolling-element bearing is generated based on the second number of second condition indicators.

Various items of data collected at different process steps are associated on production sites where traceability is hard to conduct. A quality control apparatus controls a manufacturing process in order to manufacture products of predetermined quality, including a data storing part which collects measurement data measured by multiple devices disposed in a manufacturing process and stores the collected measurement data along with measured time or collected time; and a scheduler which associates the measurement data of the devices with each other in consideration of dead time generated between the devices at measured time or collected time.

A method and system (20) is provided for condition based monitoring reliability maintenance capabilities for an asset (70), such as one or more machines, by establishing a network including of a sensor (60) or a plurality of sensors installed, temporarily or in generally fixed locations, on asset (70), wherein sensor (60) provides time sequenced operational information in the form of data based on vibrations, temperature, electrical signals, or other operating conditions. Sensors (60) are connected to a local controller (40) which transmits the data via a local or wide area network (45), either through wired or wireless communication paths, in data packets, each containing divided portions of the operational information. The data packets are mapped and stored into multiple, dedicated databases for ease of retrieving and analyzing the data. Preferably, a cloud-based storage arrangement (120) is employed to storing the mapped data.

A device for assessing a quality class of an object to be tested includes a unit for detecting a test signal from the object to be tested. Furthermore, the device for assessing includes a unit for providing a stochastic Markov model including states and transitions between states on the basis of reference measurements of objects of known quality classes, and a unit for evaluating the test signal using the stochastic Markov model. In addition, the device for assessing includes a unit for associating the object to be tested with a quality class based on the evaluation of the test signal. Such a device has the advantage to be able to perform a more precise association of an object to be tested with a quality class as compared to prior art.

The invention discloses a traditional Chinese medicine production process knowledge system which comprises a database module, a competency assessment module, a monitoring feedback module and a designspace looking-for module. The database module comprises a production data collection unit and a storage unit, the production data collection unit is used for collecting process parameter data in production, process parameters include quality data and process data, and the storage unit is used for storing the collected process parameter data; the competency assessment module is used for assessing system process capability according to the quality data to acquire process capability assessment results; the monitoring feedback module is used for entering a whole-process monitoring mode when the process capability assessment results are responded adequately; the design space looking-for module is used for entering a design space looking-for module according to the process data when the processcapability assessment results are responded inadequately. The parameters are released or design space is looked for through the process capability assessment, so that the production process knowledgesystem is allowed to gradually returns to the process knowledge system with the traditional Chinese medicine production process adjusted and fed back intelligently.

A system for processing reusable gloves comprising a conveyor means (15) to convey a plurality of the reusable gloves to a plurality of processing stations (3); said processing stations including; a loading station for mounting the gloves to the conveyor means; an inspection station for inspecting the gloves for pre-determined criteria; a washing station for washing the gloves; an interrogation station for interrogating identification means of the gloves so as to receive data from said identification means; a testing station for testing the integrity of the gloves; an unloading station for unloading the gloves.

Systems and methods for gas turbine operational impact modeling using statistical and physics-based methodologies are disclosed. According to one embodiment of the disclosure, a method can include receiving, by one or more processors, operational conditions data associated with a hardware component of a gas turbine; based at least in part on the operational variation data, applying, by one or more processors, statistical methods to establish an operational profile of the hardware component; receiving, by one or more processors, operating parameters and operational conditions data associated with the hardware component; based at least in part on the operating parameters and the operational conditions data, applying, by one or more processors, physics-based methods to establish an operational impact factor of the hardware component; and based at least in part on the operational profile and the operational impact factor determining, by one or more processors, a probability of a failure of the hardware component within a time period.

An apparatus for detecting the probable existence, location, and type of defects in a workpiece is described. The apparatus includes a sensor subsystem, an optimizer, a control subsystem, and a computer system having a processor and computer readable memory The sensor subsystem senses a first section of the workpiece and produces signals corresponding to a physical characteristic of the workpiece. The computer system is configured to generate a workpiece model based on the signals produced by the sensor subsystem. In an alternate embodiment, a defect assembler can be provided to merge signals front a plurality of sensor subsystems. The defect assembler can also be configured to generate the workpiece data model. The optimizer is configured to generate workpiece segmentation recommendations based on the workpiece data model.

The invention provides a production line product positioning method based on a monitoring video. According to the production line product positioning method based on the monitoring video, visual ID processing is carried out on a production line product; and the defective products are subjected to ID identification in the monitoring video, so that all the defective products can be traced and processed in a centralized manner in a certain link of production, and therefore, huge waste of manpower and material resources caused by emergency stop of the assembly line can be avoided, and the operation efficiency of the assembly line and the qualification rate of product quality can be improved.

The invention relates to the technical field of image detection, in particular to the field of solar cell defect detection, particularly relates to an image-based solar cell defect detection system and method, and comprises a device for detecting solar cell defects and a solar cell defect detection method. According to the device provided by the invention, the electroluminescence test image of thesolar cell can be obtained; after image preprocessing and image segmentation, a single solar cell block image is extracted; performing image segmentation on the segmented single solar cell; the defects of black pieces, pseudo soldering and broken pieces are detected and recognized based on a traditional image processing mode, the defects of broken pieces are detected and recognized based on a convolutional neural network mode, the solar cells are classified in real time by the detection device according to detection results, and real-time detection of the defects in the production and manufacturing process of the solar cells is achieved.

The quality of printed matter, which is one of several copies of the same printed matter produced by a printing machine, is evaluated. An amount of copies of the printed matter is selected from the total production of this printed matter. The selected amount of these copies are evaluated with regard to at least one error type which belongs to an amount of different error types or with regard to at least one feature of the error. Within the selected amount of copies, an error of a defined error type or of a defined feature, which is detected on at least one of the copies, is evaluated in relation to at least one error of another type or feature detected on the same copy, or another copy of the selected amount. The printed matter is classified as having good or bad quality based on that evaluation. A common reading, producing image data, is obtained by an image sensor from the selected copies. All of the errors to be evaluated in relation to each other are detected from image data gathered during the same common recording.