73 results about "Diagnostic program" patented technology

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.

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).

The application discloses a core system, device and method for vehicle diagnosis. The core system for vehicle diagnosis is connected with a vehicle and comprises an operating system layer, a protocol layer, a service layer and an application layer. The operating system layer comprises an operating system and a driver corresponding to diagnostic system hardware. The protocol layer comprises a hardware protocol stack corresponding to the diagnostic system hardware, and the hardware protocol stack is provided with multiple types of hardware protocols. The service layer is provided with multiple preset services corresponding to the types of the hardware protocols. The application layer comprises a diagnostic program used for performing a diagnostic operation on the vehicle. When the diagnostic program performs the diagnostic operation and generates a hardware calling request, the hardware calling request is sent to a preset service of a corresponding type. Each preset service determines a hardware scheduling strategy according to all currently received hardware calling requests, and schedules a hardware protocol of the corresponding type according to the hardware scheduling strategy, so that the diagnostic program completes control on the diagnostic system hardware in the diagnostic operation process.

Provided is a secondary battery diagnostic method capable of evaluating a remaining service life of a secondary battery more accurately than in the past, without disassembling the secondary battery. This secondary battery diagnostic method includes: a parameter estimating step (step S1) for employing a predetermined model formula to estimate, on the basis of data obtained by measuring a load characteristic of a secondary battery being diagnosed, characteristic parameters, at a diagnosis time point, of the secondary battery being diagnosed, the characteristic parameters including an electrolytic solution diffusion coefficient Dn, at the diagnosis time point, of the secondary battery being diagnosed; a threshold estimating step (step S5) for employing a trained model to estimate, on the basis of input data, which are data including some of the characteristic parameters at the diagnosis time point, a threshold Dth of the electrolytic solution diffusion coefficient of the secondary battery being diagnosed; and a difference calculating step (step S4) for finding a difference ΔD between the threshold Dth and the electrolytic solution diffusion coefficient Dn at the diagnosis time point.

The invention discloses a DSM fault diagnosis test method and device and a medium, and the method comprises the steps: constructing a CANoe test environment, and generating a test case for testing a DSM fault diagnosis program; executing a fault clearing operation through a fault clearing program in the ECUTEST software to clear all historical fault codes stored in the VCU controller before the test case simulates a new fault state, so that the VCU controller is in a single fault code state; based on the single fault code state, running the test case through a CANoe test environment; and obtaining a fault diagnosis message sent by the DSM fault diagnosis program in response to the test case, and comparing an actual fault code in the fault diagnosis message with an expected fault code in the test case to generate a diagnosis test report.

Systems and methods are disclosed herein for mitigation of sensor obstructions or interference. The system can generate a first sensor map using a first sensor and a second sensor map using a second sensor. The system can detect a first representation of a first object in the first sensor map. The system can obtain first field-of-view information associated with the first sensor and second field-of-view information associated with the second sensor. The system can generate a prediction for an object position of the first object. The system can determine, in the second sensor map, a predicted sensor cell for the first object. The system can determine that the second sensor map does not include a second representation of the object. The system can generate a sensor operation status for the second sensor. The system can execute an interference diagnostic program according to the sensor operation status.

A fault diagnosis procedure for detecting faulty components in a vehicle, wherein, for at least one identifiable fault cause of a faulty component, a system parameter of the vehicle that is influenced by the fault cause is determined and compared with a target value of the system parameter, and a determined signal deviation between the determined system parameter and the target value of the system parameter is compared with a stored fault characteristic signal deviation, and if the determined signal deviation matches the fault characteristic signal deviation, the fault cause and / or faulty component associated with the fault characteristic signal deviation is uniquely identified, wherein the entire development process for the fault diagnosis procedure essentially consists of the following six individual steps, which are executed sequentially: - Selection of faults to be diagnosed, whereby in this first step the various components of the vehicle are analyzed in such a way that the possible causes of faults are listed for each component; - Structural analysis, whereby in this second step it is checked whether there is a possibility in principle of model-based diagnostics of the system; - Creation of a nominal model, whereby in this third step, so-called nominal models are created for those system parameters that are used and evaluated for the identification of a faulty system component, in which a normal operation of the system component is depicted; - Sensitivity analysis, in which, in this fourth step, defined causes of failure are imprinted into the system and their effects on the relevant system size(s) are considered using the nominal model, thereby identifying a unique assignment of a cause of failure or a faulty system component to its effect on the relevant system size; - Creation of fault models, whereby in this fifth step the knowledge about the effect is stored in a reference source onboard in the vehicle, whereby, based on this reference source, a statement can be made at any time valid for the diagnosis as to whether this cause of fault is present or not and - Integration into a diagnostic system, whereby in this sixth step the developed diagnostic procedure is transferred to a corresponding target control unit in the vehicle.

A diagnostic mechanism includes: a valve leak difference calculation unit that calculates a valve leak difference that is a difference between a valve leak pressure change model indicating a pressure change due to a valve leak of a fluid control valve and an upstream pressure detected by an upstream pressure sensor or a downstream pressure detected by a downstream pressure sensor; a sensor shift difference calculation unit that calculates a sensor shift difference that is a difference between a sensor shift pressure change model indicating a pressure change due to a sensor shift of the upstream pressure sensor or the downstream pressure sensor and the upstream pressure or the downstream pressure; and a diagnostic unit that compares the valve leak difference with the sensor shift difference to diagnose whether the fluid control valve is abnormal or whether each of the pressure sensors is abnormal.

An oil property sensor (1 (1a, 1b)) detects at least one dielectric constant and one resistance value as physical property values ​​of oil. A control unit (50) estimates a metal concentration or an iron concentration in the oil from the physical property values ​​based on a relationship between the physical property values ​​of the oil detected by the oil property sensor (1 (1a, 1b)) and the metal concentration or iron concentration in the oil.

The application relates to a test simulation verification platform for reusing on-board diagnosis algorithms, which comprises the following modules: a diagnosis program generation module, which automatically generates an on-board diagnosis program according to diagnosis knowledge; a diagnosis program simulation module, which loads the on-board diagnosis program, receives telemetry data and performs fault diagnosis; a data playback module, which plays back historical data records required for test verification; and a test verification module, which compares real and detected fault labels and analyzes diagnosis accuracy. The application provides a test simulation verification platform for reusing on-board diagnosis algorithms, realizes automatic updating and deployment to verification, and improves the test verification efficiency of on-board diagnosis programs.

A diagnostic system (1) comprises: a machining data acquisition unit (10) that acquires machining data from the start to the end of machining by a machine tool (2); a section extraction unit (11) that extracts, from machining sections of the machining data, a first section that is a section of cutting and a second section that is a section other than the first section; a feature amount calculation unit (13) that calculates a first feature amount in the first section of the machining data and a second feature amount in the second section of the machining data; a corrected feature amount calculation unit (14) that calculates a third feature amount corresponding to an actual cutting load that is a load of cutting by subtracting the second feature amount from the first feature amount; and a machining diagnostic unit (17) that executes a machining diagnosis on the basis of the third feature amount.

Provided in an embodiment is a diagnosis device for an electrochemical module in which at least one of an anode and a cathode is equipped with a catalyst. The diagnosis device comprises an output circuit and a processor. The processor supplies inspection power from an output circuit to the electrochemical module, in a state where operation power is being input to the electrochemical module or being output from the electrochemical module, so that the inspection power is superimposed on the operation power, and in the state where the inspection power is superimposed on the operation power, a current and a voltage for the electrochemical module is measured so as to measure measurement data for diagnosis.

To provide a diagnostic system, a diagnostic method and a diagnostic program for reducing the number of parameters to be used for diagnosis as compared with a conventional manner.SOLUTION: A diagnosis system (1) for diagnosing a state of a cam (5) of a hydraulic motor (4), the hydraulic motor (4) including the cam (5) having a wavy profile, a plurality of pistons (62) each having a follower (63) in contact with the cam (5) at a tip thereof, a rotor (6) having the cam (5) or the pistons (62), and a hydraulic pump (7) configured to supply a hydraulic pressure to the pistons (62), the hydraulic motor (4) being controlled such that a relative rotational speed of the rotor (6) with respect to the cam (5) is substantially constant, the diagnosis system (1) including: The calculation device 3 can realize a feature amount specifying function of specifying at least one feature amount selected from the group consisting of a standard deviation, an effective value, and an amplitude with respect to the hydraulic pressure in a predetermined period, and a diagnosis function of diagnosing the state of the cam 5 based on the feature amount.SELECTED DRAWING: Figure 2

Battery cell diagnostic device comprising: at least one sensor; and a first control unit configured to receive data containing the voltage and / or current and / or temperature of a battery cell from which at least one sensor receives initial diagnostic information based on the received data, transmits the data to an external device, receives second diagnostic information of the battery cell based on the data from the external device, and diagnoses an abnormal condition of the battery cell based on the first diagnostic information and / or the second diagnostic information, wherein the first diagnostic information and the second diagnostic information contain information on diagnostic points that are diagnosed using various diagnostic procedures.

A processor of a diagnostic device for diagnosing an imaging device for optically imaging an external space from an internal space through a light-transmitting panel is configured to: receive a reflected light beam, which is a diagnostic light beam (Bd) irradiated from a light emission fixed point of the internal space, at a reflected light receiving position on the inner surface of an imaging element; reflecting the light beam at an inner surface at a panel inner surface of the light-transmissive panel facing the interior space, thereby acquiring an inner surface reflection intensity (Ii) at the panel inner surface; acquiring an outer surface reflection intensity (Io) at the panel outer surface by receiving, as a reflected light beam, an outer surface reflection light beam at the panel outer surface facing the external space of the light-transmitting panel at an outer surface reflection light receiving position of the imaging element; and generating diagnostic data (Dd) representing a deterioration state dependent on a relative intensity ratio of the inner surface reflection intensity (Ii) to the outer surface reflection intensity (Io), the deterioration state being a state of the outer surface of the panel provided with the translucent outer surface coating.

Test communication coils (401 to 404) are provided near a specific region (R10) of an inspection location of a vehicle (11), which receive radio waves from a power receiver side communication coil (170) and convert the radio waves into an electric signal.　 At the inspection location, a test control device (405) is provided, which inputs an electric signal from the test communication coils (401 to 404).　 When the vehicle (11) is parked in the specific region (R10), the test control device (405) wirelessly transmits radio waves from the power receiver side communication coil (170), receives the radio waves through the test communication coils (401 to 404), and diagnoses a transmission function of a power receiver device (100) based on an intensity of an electric signal acquired as a result of the reception.

To improve the diagnostic accuracy of flow meters. [Solution] The server device 10 acquires image data from the measuring tube MP of the flow meter 20, calculates an image data evaluation value that shows the difference from the normal state of the flow meter 20 based on the acquired image data, and diagnoses the flow meter 20 using a machine learning model that outputs state information indicating the state of the flow meter 20 in response to the input of the image data evaluation value.

To provide a diagnostic device for an elevator that is able to detect an occurrence of opening / closing anomaly of a door.SOLUTION: An anomaly diagnostic device for an elevator including a signal processing unit that diagnoses an opening / closing anomaly of a door, includes: an anomaly diagnostic sensor that detects information for diagnosing the opening / closing anomaly of the door; and a door opening / closing sensor that detects an external signal of the elevator. The signal processing unit includes: a diagnosis section extracting unit that detects a diagnosis section for detecting the opening / closing anomaly of the door by using a detection result detected by the door opening / closing sensor; and an anomaly diagnostic unit that performs an anomaly diagnosis by using the detection result detected by the anomaly diagnostic sensor in the diagnosis section extracted by the diagnosis section extracting unit.SELECTED DRAWING: Figure 2

The invention relates to a diagnostic method for diagnosing detections in a controller for a multiphase electric drive (10), wherein the diagnostic method comprises: first activating (S1) a first phase (10.1) of the drive (10) to a first operating point; detecting a first common current (S2) across all phases (10.1, 10.2) of the drive (10) during the first activation (S1); second activating (S3) a second phase (10.2) of the drive (10) to a second operating point; detecting a second common current (S4) across all phases (10.1, 10.2) of the drive (10) during the second activation (S3); and determining a ratio (S5, S5.2) between the first common current and the second common current to diagnose detection of the first operating point and / or detection of the second operating point. The invention also relates to a drive unit (1).

To highly precisely predict a remaining service life of a drive unit of a robot.SOLUTION: A robot diagnosis system 1 diagnoses a condition of a drive unit 321 of a robot 3 including the drive unit 321 having a motor 322. The robot diagnosis system 1 includes an acquisition unit 131 that acquires a current command value for a predetermined time to be issued to the motor 322, a generation unit 132 that extracts a specific frequency component which is equal to or higher than a first frequency from the current command value acquired by the acquisition unit 131, amplifies the specific frequency component, superimposes the amplified specific frequency component to frequency components equal to or lower than the first frequency of the current command value, and thus generates an evaluation current, and a prediction unit 133 that predicts failure timing, according to which the drive unit 321 fails, on the basis of a time-sequence change tendency of the evaluation current generated by the generation unit 132.SELECTED DRAWING: Figure 2

The invention relates to a method for vehicle diagnostics, comprising the steps: - Providing (S1) at least one internal signal (10), wherein the at least one internal signal (10) signals an actual communication protocol for vehicle diagnostics, - Receiving (S2) at least one external signal (20), wherein the at least one external signal (20) signals a target communication protocol for vehicle diagnostics, - Output (S3) of the vehicle diagnostics when the actual communication protocol matches the target communication protocol, - Adjusting (S4) a counter (40) if the received at least one external signal (20) signals at least one write operation, - Generate (S5) at least one error message (50) when the counter (40) passes a threshold (45) for a permissible number of write operations, as well as a device (100) and a vehicle (200).