242 results about "Diagnostic program" patented technology

The invention provides a 5G portable WiFi fault diagnosis and recovery method and system. The method comprises the following steps: collecting network connection data, system information and operation logs from a communication terminal connected to 5G portable WiFi equipment; analyzing the data, and generating a fault diagnosis report; selecting and executing corresponding recovery operation from a recovery scheme library according to the report; monitoring equipment state and network connection in real time, and judging whether recovery is successful or not; if the fault is not solved, an advanced solution is provided, and equipment information, program attributes, scheme library information, network connection data, system information and operation logs are sent to an edge server; the edge server obtains fault data and diagnosis reports of a plurality of similar devices as references, potential fault laws are mined through big data analysis, and reference analysis data are generated; and optimizing an intelligent diagnosis program and a recovery scheme library according to the reference analysis data and other information. The fault type can be accurately identified, the fault recovery time is remarkably shortened, and the user experience is improved.

The invention discloses a vehicle diagnosis method and device, equipment and a medium, and relates to the technical field of vehicle diagnos.The method comprises the steps that target related data are determined from a local database based on a received search instruction, and the target related data are displayed at the front end of the diagnosis equipment in a preset display mode so that a corresponding selection instruction can be received through the front end; determining a corresponding menu path according to the selection instruction, and determining to-be-transmitted data corresponding to the menu path from a local database when a diagnosis program under the menu path needs to be transmitted; and skipping to the menu path to determine a diagnosis program under the menu path, transmitting the to-be-transmitted data to the diagnosis program in an encrypted form after receiving a target diagnosis instruction, and starting the diagnosis program based on the to-be-transmitted data to diagnose the to-be-diagnosed vehicle. Therefore, the process of menu search and inter-page value transmission of the diagnostic software can be simplified to improve the diagnostic efficiency, and offline diagnosis is realized.

The invention discloses an elevator control reminding and fault self-diagnosis method and system, and the method comprises the steps: installing acceleration, temperature, pressure and displacement sensors at preset parts of an elevator car, a motor, a steel wire rope and a door system, and collecting operation data in real time. Performing data preprocessing, cleaning wrong data, normalizing and extracting key feature parameters; and then, a state evaluation model constructed based on historical data and expert experience is used for judging the running state of the elevator, and normal, early warning and fault grades are divided. According to an evaluation result, the system executes corresponding control reminding operation, a fault diagnosis program is started when a fault occurs, fault types and reasons are accurately positioned, and part of faults can be self-repaired. Meanwhile, diagnosis and processing conditions are fed back, and a fault database is updated. The elevator running safety and reliability are remarkably improved, the maintenance cost is reduced, and the safety of elevator passengers is guaranteed.

An example of a distributed discernment system including a discernment server and a communications interface permitting bi-directional communications to and from the discernment server; and a plurality of human interface devices, each including a speaker, a microphone, a processor running a local processing program, and a system interface permitting bi-directional communications between the human interface device and the discernment server, where the diagnostic program running on the discernment server is adapted to generate interview instructions provided to the interface devices and the interface devices are adapted receive interview instructions from the discernment server, present a verbal question to a human interviewee; receive and process sensor data from the microphone to determine whether the microphone sensor data corresponds to a complete human voice response to the presented verbal question.

To diagnose abnormality in a solid polymer electrolyte membrane without reducing the operating rate of a water electrolysis apparatus.SOLUTION: An information processing device (2) includes a determination unit (200) that includes a voltage determination unit (201) that determines whether or not a voltage drop of a voltage threshold or more has occurred for each electrolytic cell, and an abnormality diagnostic unit (207) that diagnoses abnormality in a solid polymer electrolyte membrane based on the determination result from the determination unit (200).SELECTED DRAWING: Figure 2

The machining diagnosis device (1) includes a data acquisition unit (11) that acquires a physical quantity related to the operating state of a machining machine (90) that machines a workpiece, and the machining conditions when the physical quantity is obtained, a feature quantity calculation unit (12) that calculates, for each machining condition, a statistical feature quantity of the physical quantity obtained during machining under the same machining conditions based on the physical quantity and the machining conditions, and an inference unit (16) that performs machining diagnosis based on the statistical feature quantity for each machining condition.

The invention relates to the technical field of power equipment monitoring, and discloses an intelligent power equipment health monitoring system integrated with a sensor network, and the system comprises the steps: constructing the sensor network to collect the operation state data of power equipment; summarizing and preprocessing data from different sensors through a data concentrator, and removing noise and abnormal data to obtain preprocessed data of each sensor; carrying out fusion processing on the preprocessed data from different sensors to obtain target monitoring data; analyzing the target monitoring data, extracting equipment feature data, inputting the equipment feature data into a health state evaluation model, and evaluating the health state of the equipment through the health state evaluation model to obtain an evaluation result; when the health state evaluation result of the equipment shows that the equipment has a potential fault, starting a fault diagnosis program, and sending out corresponding early warning information according to a fault diagnosis result; potential faults of equipment can be found in time, and safe and stable operation of a power system is guaranteed.

A distributed discernment system that includes discernment server including a processer running a diagnostic program and server interface permitting communications to and from the discernment server where the discernment system communicates with two or more human interface devices, where each human interface device includes display capable of presenting a video segment of a virtual human interviewer asking a question to an interviewee and sensors capable of detecting various responses of a human interviewee to each presented question where the discernment server includes a diagnostic that generates interview instructions to be provided to a plurality of human interface devices over the communications network, wherein the instructions provided to a given human interface device are intended to cause the human interface device to present certain questions to a human interviewee interacting with the device and wherein the discernment server is adapted to receive data from each of a plurality of the human interface devices and analyze such data to provide an assessment of the state of the human interviewee interacting with the human interface device.

To provide a wire rope fracture diagnostic system, a diagnostic method, and a diagnostic program that reduce user burden by relying solely on image data.SOLUTION: In one embodiment of the present invention, a wire rope fracture diagnostic system is provided, configured to perform the following steps: a receiving step receives image data targeted for a wire rope acquired through an image pickup device; a removal step removes the background other than the wire rope in the image data; an extraction step extracts bare line parts of the wire rope in the image data the background of which has been removed; an input step inputs only the extracted bare line parts into a model; a difference step generates a difference image between a restoration image output from the model and the image consisting of only the bare line parts; a determination step determines an abnormality degree of the wire rope from the difference image; and a transmission step notifies the user of the determination result.SELECTED DRAWING: Figure 1

The presented invention relates to a diagnostic method (100) for diagnosing a condition of a gas delivery unit (203) of a fuel cell system (200), wherein the diagnostic method (100) comprises: - Setting (101) a predefined operating point of the fuel cell system (200), - Determining (103) a characteristic number that quantifies frictional resistance during movement of moving components of the gas delivery unit (203) during the specified operating point, - Comparing (105) the determined key figure with a reference, and - Output (107) an error message in the event that the determined key figure deviates from the reference by a value greater than a specified diagnostic threshold.

The invention relates to a beverage maker and a method, in which a diagnostic program is used that is programmed to identify at least one faulty component of the beverage maker. The diagnostic program is used to read out measured values from at least one sensor from at least two different paths of the beverage maker, compare them with a predefined value range for the respective measured values and generate a result of the determination process in each case. These at least two results of the determination process are combined to form a combined result and the combined result is compared with an assignment in which predetermined combined results are each assigned to a diagnostic result in a logical link. A clear diagnostic result can be obtained by comparison with the assignment. This makes identification of a faulty component of the beverage maker easier, quicker and more accurate.

The invention discloses a diagnosis message processing method and device, a vehicle and a storage medium, and the method comprises the steps: receiving a diagnosis request message forwarded by a gateway under the condition that a first ECU and the gateway are in communication connection through the Ethernet; performing data transmission format conversion on the diagnosis request message to obtain diagnosis request data in a second data transmission format; transmitting the diagnosis request data to a diagnosis program configured in the first ECU, so that the diagnosis program performs diagnosis processing in response to the diagnosis request data; generating a first response message in the first data transmission format based on the diagnosis data under the condition that the diagnosis program completes the diagnosis processing and the diagnosis data in the second data transmission format is generated; and sending the first response message to the gateway, so that the gateway forwards the first response message to the diagnosis equipment. Therefore, the vehicle can process the diagnosis message for the ECU of the Ethernet node so as to meet the diagnosis requirement.

The invention is based on the objective of further improving or better assessing the performance of the vibration isolation system and thus the performance of the machine or device connected to the vibration isolation system. For this purpose, a vibration isolation system is provided by means of which a vibration-isolated load can be supported, comprising at least one vibration isolator, preferably a plurality of vibration isolators, which can counteract vibrations occurring during operation by means of actuators, and at least one sensor, preferably a plurality of sensors, which are configured to record measured values ​​relating to the vibration isolation system and / or the supported load and / or the environment and to provide these as input data to a computer-aided method for a performance analysis of the vibration isolation system and / or the supported load.

A non-transitory computer readable medium (26) stores instructions executable by at least one electronic processor (20) to perform a medical device servicing method (100) for a medical device (12), including: deriving a representation (36) of abase diagnostic procedure for diagnosing a malfunction of the medical device from one or more service manuals (32); analyzing historical service records (34) to extract diagnostic procedures applied in historical service cases for diagnosing the malfunction of the medical device; adding the extracted diagnostic procedures to the representation of the base diagnostic procedure to generate an updated representation (40) of the base diagnostic procedure; calculating likelihood of success scores (42) for each path of the updated representation of the base diagnostic procedure based on statistics of outcomes of the historical service cases; and outputting the updated representation of the base diagnostic procedure on an electronic processing device (18) operable by a service engineer (SE).

To specify the abrasion loss of a centrifugal dehydrator.SOLUTION: A diagnosis system for diagnosing a centrifugal dehydrator including an outer body and an inner body that are coaxially disposed, are pivotally supported at two bearing portions provided at both ends in an extending direction, and rotate at different rotation speeds, the inner body having a screw spirally provided on an outer periphery thereof, the diagnosis system including measurement devices 2, 3, and 4 that measure a physical quantity related to the centrifugal dehydrator, and an arithmetic device 5, in which the arithmetic device 5 is capable of realizing a wear amount specifying function of specifying a wear amount of a tip portion of the screw based on the physical quantity.SELECTED DRAWING: Figure 2

According to the elevator diagnosis method and system based on functional safety, functional safety diagnosis is paused in the running stage of an elevator needing to be quickly responded, a control system can centralize resources to process related tasks, such as accurate control over elevator car leveling and timely response to door machine instructions, response delay caused by diagnosis program interference is avoided, and the service life of the elevator is prolonged. The probability of accidents caused by untimely response is reduced, and quick and accurate response in a key stage is guaranteed; secondly, by setting the threshold duration of pause function safety diagnosis and overtime forced recovery diagnosis, long-time non-monitoring in the quick response stage is avoided, and in the normal operation stage of the elevator, diagnosis is recovered and periodically executed, the elevator function is continuously detected, potential safety problems are found and early warned in time, so that maintenance and repair measures are taken, and the safety of the elevator is guaranteed. The response speed and safety monitoring are balanced, the safety monitoring effectiveness of the overall function of the elevator is guaranteed, and the operation safety is improved.

To simplify the display of a check result for an input item of DPC data.SOLUTION: A check program causes a computer to perform processing of: receiving an input of DPC (Diagnosis Procedure Combination) data, executing a check on an input item corresponding to an occupation of an account of a user who inputs the DPC data among input items included in the DPC data, and outputting an execution result of the check.SELECTED DRAWING: Figure 1

A diagnosis program (P) causes a processor (10) to use a battery degradation model formula (Ma) to specify a degradation factor of a battery module (2a), wherein the battery degradation model formula (Ma) is obtained by linear regression analysis in which the degradation amount of characteristic data (E) of the battery module (2a) is used as an objective variable (Y) and in which usage history data (D) of the battery module (2a) during measurement of the characteristic data (E) and the power (D') of the usage history data are used as explanatory variables (X), and through modeling in which the coefficient of each term of the explanatory variables (X) is predefined as positive or negative.

The invention provides an upper computer fault diagnosis method and device, equipment and a medium, and relates to the technical field of fault diagnosis, and the upper computer fault diagnosis method comprises the steps: obtaining a latest state data set of each upper computer based on a preset data obtaining rule; for each upper computer, based on the latest state data set of the upper computer, determining a latest fault diagnosis result set of the upper computer through the target program set corresponding to the upper computer; wherein the target program set corresponding to the upper computer is generated based on the station type corresponding to the upper computer; wherein the target program set comprises a plurality of preset fault diagnosis programs, and each preset fault diagnosis program corresponds to one fault diagnosis function. According to the invention, the problem that the overall efficiency, safety and reliability of the DCS are affected because technicians are difficult to acquire deeper equipment conditions because the diagnosis content of the upper computer in the DCS is mainly concentrated on basic information in the prior art can be effectively solved.

The invention relates to a processor with non-invasive self-testing. A processor (100) includes a central processing unit (CPU) (102) and a diagnostic monitoring circuit (112). The diagnostic monitoring circuit (112) is coupled to the CPU (102). The diagnostic monitoring circuit (112) includes a monitoring and cyclic redundancy check (CRC) calculation unit (106). The monitoring and CRC calculation unit (106) is configured to detect execution of a diagnostic program by the CPU (102) and calculate a plurality of CRC values. When the CPU (102) executes the diagnostic program, each of the CRC values corresponds to a processor value retrieved from a given register of the CPU (102) or from a bus coupling the CPU (102) to a memory and peripheral subsystem (108).

To perform more accurate hearing ability diagnosis.SOLUTION: A hearing ability diagnostic device includes: a measuring unit for measuring volume of external noise; a determination unit for determining a frequency and volume of an output sound for diagnosing hearing ability of a subject on the basis of the volume of the measured external noise and the age of the subject; an acquisition unit for acquiring a result of the determination on whether or not the output sound is heard under the external noise while changing the frequency and volume of the output sound determined by the determination unit; and a diagnosis unit for diagnosing the hearing ability of the subject on the basis of the age of the subject, the measured external noise, and the result of the acquisition unit.SELECTED DRAWING: Figure 1

To detect the occurrence of deposits in a vibrating tube of a Coriolis flow meter with high sensitivity.SOLUTION: A server device 10 receives a measurement value that contains a measured differential pressure ΔPmeas of fluid from a Coriolis flow meter 20 that measures a mass flow rate Q and density ρ of the fluid flowing through a vibrating tube on the basis of the vibration of the vibrating tube, calculates a theoretical differential pressure ΔPcal on the basis of the received measurement value, and diagnoses the occurrence of deposits in the vibrating tube on the basis of the difference between the measured differential pressure ΔPmeas and the theoretical differential pressure Δpcal.SELECTED DRAWING: Figure 1

A measurement device outputs first and second swing measurement data values respectively dependent on operability of a hitting tool (bat) and momentum at the time of impact with a swing behavior when hitting an object (ball) with the hitting tool being employed as an input. A data analysis device generates diagnosis information for selection of a hitting tool in response to input of the first and second swing measurement data values obtained when each of three or more of hitting tools is swung. The diagnosis information is generated using a total score value calculated by integrating, using a BS value that is a weighting coefficient, a score value that is an indicator value of operability of the hitting tool calculated from the first swing measurement data value and a score value that is an indicator value of a hit-object speed calculated from the second swing measurement data value.

A fluid control apparatus 100 is provided with a second flow rate calculation unit 431 that calculates a flow rate flowing through a fluid resistor 33 based on a change over time in an upstream-side pressure P1 or a downstream-side pressure P2 in a state in which a fluid control valve 32 is closed, and with a diagnostic parameter calculation unit 432 that calculates a diagnostic parameter based on a first flow rate calculated by a first flow rate calculation unit 431, and on a second flow rate calculated by the second flow rate calculation unit 432 in a state in which the fluid control valve 32 is closed.

The invention provides a machine learning device capable of diagnosing the insulation state of a winding without stopping a shield motor pump. A machine learning device (4) generates a learning model (6) for an insulation state diagnosis device (5) for diagnosing the insulation state of a winding (31) of a stator (23) used in a shield motor pump (2). A machine learning device (4) uses unprocessed data or data obtained by pre-processing at least a portion of the unprocessed data as input data, and inputs learning data including at least the input data into a learning model (6). Therefore, the learning model learns the correlation between the input data and the diagnosis information of the insulation state of the winding. The unprocessed data is data of a voltage value and a current value supplied to the motor unit (20), data of a temperature of a winding (31) of the stator (23) or a temperature, a temperature difference, or a pressure related thereto, and data of an inflow temperature and a flow rate of the working fluid in the pump unit (10).

A diagnostic system (6) according to the present invention is provided with: a control device (11) for controlling a machine (1), and generating a plurality of divided data by dividing output data to be used in at least one of diagnosis and maintenance of the machine (1); a display unit that generates transmission data in which data identification information, which is identification information of the output data, and division information indicating the order of the divided data, are added to each of the plurality of divided data, converts the transmission data into a two-dimensional code, and displays the two-dimensional code; and a server (4) that receives, from an information terminal that has captured an image, captured data, which is data of an image obtained by capturing the displayed two-dimensional code, extracts the two-dimensional code from the captured data, decodes the extracted two-dimensional code, and uses the data identification information and the division information included in decoded information obtained by decoding to identify the two-dimensional code. And restoring the output data according to the plurality of pieces of decoding information.

A method includes receiving application use case context information for context-aware safety management for an advanced driver-assistance system (ADAS) and / or an autonomous driving system-on-a-chip (SoC). The method also includes selecting a group of components of the SoC for running a selected subset of diagnostic procedures based on application use case context information. The method further includes identifying the selected subset of diagnostic procedures based on the group of components of the SoC associated with the use case context information. The selected subset of diagnostic procedures may be a subset of stored diagnostic procedures. The method still further includes triggering the selected subset of diagnostic procedures and performing the selected subset of diagnostic procedures based on the triggering.

The invention relates to a method for operating a motor vehicle closure system (1), the motor vehicle closure system (1) having a drive (2) with an electric drive motor (3) and a control assembly (4) for actuating the drive (2) in order to provide an electric closure function for an adjustable closure element (5) of a motor vehicle (6), the control assembly (4) has a rechargeable electrical energy store (9) with at least one capacitor (10), the emergency supply voltage being provided by means of the energy store (9) during emergency operation, in particular in the event of a failure of the normal supply voltage. According to the invention, a diagnostic program is carried out by means of a control component (4), in which the capacitor (10) is subjected to a discharge and a charge from an initial state of charge in a chronological order, and a first electrical characteristic parameter of the capacitor (10) is determined on the basis of the discharge and a second electrical characteristic parameter of the capacitor (10) is determined on the basis of the charge by means of the control component (4).

The present invention provides an appliance diagnosis method by which an information terminal self-diagnoses a home appliance, wherein the information terminal can access definition information configured to include button display information pertaining to option IDs, explanatory information, question information, material information for appliance diagnosis, the value of the number of options, and a related option ID corresponding to the value of the number of options. The method includes: a material displaying step in which, when material information about a tapped option ID is available, a processing unit of the information terminal displays said material information on a material display unit (50) of the information terminal; and a related step in which, when the value of the number of options pertaining to a tapped option ID is available, the processing unit displays, on a diagnostic display unit (40), button display information pertaining to the related option ID as many times as the value of the number of options.

To perform more accurate hearing ability diagnosis.SOLUTION: A hearing ability diagnostic device includes: a measuring unit for measuring volume of external noise; a determination unit for determining a frequency and volume of an output sound for diagnosing hearing ability of a subject on the basis of the volume of the measured external noise and the age of the subject; an acquisition unit for acquiring a result of the determination on whether or not the output sound is heard under the external noise while changing the frequency and volume of the output sound determined by the determination unit; and a diagnosis unit for diagnosing the hearing ability of the subject on the basis of the age of the subject, the measured external noise, and the result of the acquisition unit.SELECTED DRAWING: Figure 1