71 results about "Diagnostic strategy" patented technology

A dynamic layer diagnostic device for smart power grid fault comprises a data collection and monitoring unit, a data processing unit, a data base unit, a communication unit and a man-machine interaction unit. A dynamic layer diagnostic method includes: when a smart power grid breaks down, calculating fault diagnosis starting conditions to conform a diagnosis strategy, wherein the fault diagnosis strategy comprises switch layer diagnosis, feeder layer diagnosis and transformer substation layer diagnosis; starting the switch layer diagnosis when changes of switch motion information are remarkable before and after the fault; starting the transformer substation diagnosis when changes of electricity amount information are remarkable before and after the fault; stopping the diagnosis when a fault element is the only one element during the diagnosis of the switch layer; otherwise, retrieving the switch historical action recording, and starting the transformer substation diagnosis when recording matched with the current switch action exists; and otherwise, starting the feeder layer diagnosis. The dynamic layer diagnostic method performs layering analysis on the fault, fully utilizes various fault information and improves fault diagnosis accuracy according to different characteristics of multisource information after the power grid fault and difficulty layer in obtaining and processing of various information.

An onboard cooling system diagnostic strategy utilizes at least one temperature sensor fluidly positioned between an electronically controlled engine and a thermostat. The diagnostic algorithm operates by monitoring coolant temperature during engine startup. By comparing the actual coolant temperature during engine start-up to a predicted coolant temperature that should occur if no cooling system error is present, a cooling system fault condition may be identified. If a cooling system fault is detected, the diagnostic logic may activate the engine cooling fan or intrusively open an electrically controlled thermostat while monitoring the coolant temperature response to the intrusive action. If there is a substantial change in coolant temperature responsive to the intrusive action, this phenomenon can be utilized to correctly distinguish between a thermostat failure and a vehicle configuration error corresponding to an overcooled vehicle. The present disclosure also can utilize a similar strategy to diagnose problems associated with other vehicle fluid coolers that exchange heat with ambient air moved by a circulation fan.

The invention discloses a multilevel inverter fault diagnosis strategy based on a principal component analysis and multi-classification related vector machines (PCA-mRVM). The multilevel inverter fault diagnosis strategy includes: subjecting primary samples to dimensionality reduction through principal component analysis, and extracting multiple principal components with fault features so as to form training samples; subjecting the training samples to fault diagnosis through the multi-classification related vector machine, outputting probabilities of fault classifications, and taking the fault classifications with the maximum probabilities as diagnosis results. The multilevel inverter fault diagnosis strategy has the advantages in the fault diagnosis with larger sample space and more classifications, is high in model sparseness, low in computation complexity and the like; most importantly, the probabilities of classification members can be outputted through the mRVM, probability and statistic significance is achieved, and uncertain problems can be conveniently analyzed.

A vehicle stability control system diagnostic strategy, wherein the diagnostic strategy may be adaptively applied based upon the identified maneuver states of the vehicle. The diagnostic architecture contains three vehicle state observers (i.e., models) each based on inputs from only two of the three sensors (yaw rate, lateral acceleration and hand wheel angle). More particularly, the first observer does not consider lateral acceleration input. The second observer does not consider yaw rate sensor input and the third does not consider hand wheel angle (HWA) sensor input in determining the vehicle state. However, estimated vehicle speed input is used by all the observers. For example, the first observer detects a maneuver state based on yaw rate and HWA and vehicle speed inputs. Then it diagnoses the lateral acceleration sensor failure based on the observer output. The diagnostics are based on vehicle dynamics correlations that hold in steady state linear range conditions. Similarly, the other two observers detect maneuver state and diagnose the respective signals. Advantageous variants include the use of a proactive sensor diagnostics strategy that provides increased coverage during steady state linear range maneuvers while simultaneously detecting faults within the required fault response time.

The invention provides an ageing correction method based on dual NOx sensors for an SCR (Selective Catalytic Reduction) catalyst. The NOx sensors are correspondingly arranged at the upstream and downstream of the SCR catalyst of an engine exhaust system to calculate actual conversion efficiency of the SCR catalyst in real time, and the degree of ageing of the catalyst is calculated according to the actual conversion efficiency and ideal conversion efficiency of the SCR catalyst; the feed-forward control quantity of urea is corrected according to the degree of ageing of the catalyst; the brakespecific NOx emission of an engine is calculated in real time; and an OBD (On Board Diagnostics) diagnostic strategy judgment method is provided based on an OBD emission limit. The degree of ageing ofthe catalyst is reflected by a deterioration factor of the catalyst, the ejection amount of urea can be fed back and corrected according to the degree of ageing of the catalyst, the brake specific NOx emission of a vehicle on road is calculated in real time, and an emission OBD monitoring and judging method is put forward.

The invention relates to an electric automobile diagnostic system which is an electric automobile controller failure and service life online diagnostic system. The diagnostic system comprises an MCU (Microcontroller Unit) singlechip, a power supply retaining circuit module and an electric controller software module, wherein the power supply retaining module is used for retaining the power supply of the MCU singlechip after an automobile key is shut down till software actively turns off the power supply, as a result, a failure and service data storage function is achieved. The electric controller software module comprises a failure diagnostic module, a service life calculation module, a diagnostic communication protocol module and a data storage and recovery module, wherein the failure diagnostic module contains a funnel dynamic algorithm for executing a failure diagnostic strategy, and is used for online failure diagnosis; the service life calculation module is used for online service life calculation and analysis; the diagnostic communication protocol module is used for communicating with a diagnosis instrument; and the data storage and recovery module is used for power-down saving and power-on recovery of failure and service life data.

A diagnostic system for controlling an engine low oil pressure indicator in a hybrid electric vehicle includes a powertrain having an engine and an electric traction motor, an oil pressure sensor/sending unit mechanically connected to the engine, an engine speed sensor/sending unit mechanically connected to the engine, a controller having connections to the oil pressure sensor and engine speed sensor, a low oil pressure indicator electrically connected to the controller, a mode selector having modes for "off" and "run/start", the controller being configured to prevent activation of the low oil pressure indicator when the mode selector is in the "run/start" mode and the engine is not running.

A non-invasive method for determining a subject's dermal exposure to an agent employing an immunohistochemical procedure on a skin strip applied to an exposed area on the subject's person and detecting agent adduct thereon.

An engine system (10) includes an exhaust system (12) fluidly connected to an electronically controlled engine (11). Exhaust from the engine may travel a first pathway (20) through a turbine (16) of a turbocharger (15), or a second pathway (22) that bypasses the turbine (16). An electronically controlled wastegate vale is biased to close the second pathway (22). An electronic controller (13) is in communication with the electronically controlled engine (11) and the electronically controlled wastegate valve. The electronic controller (13) is configured to execute a wastegate diagnostic algorithm to detect a stuck closed default condition of the electronically controlled wastegate valve, and derate the engine in response to detection of a stuck closed fault condition.

The invention is applied to the technical field of the mobile communication and provides a diagnostic method, a device and a system of a movable termination software. The method comprises the following steps: a sending terminal sends a diagnostic request to a diagnostic server, and the diagnostic request includes the model information of a movable termination; the diagnostic server receives the request to create the diagnostic strategy and sends back the diagnostic strategy to the sending terminal; the sending terminal obtains the corresponding software information of the movable termination according to the diagnostic strategy and sends the software information of the movable termination corresponding to the diagnostic strategy to the diagnostic server; and the diagnostic server performs the diagnosis to create a diagnostic result and sends back the diagnostic result to the sending terminal. In the embodiment of the invention, the model information of the movable termination and the software information of the movable termination are sent to the diagnostic server which carries out the diagnosis on the movable termination software, therefore, a user is enabled to carry out the diagnosis on the software of the movable termination conveniently and quickly at any time through online diagnosis.

A system and method for detecting an intermittent failure of an injector that injects hydrogen gas fuel into the anode side of a fuel cell stack in a fuel cell system. The method includes operating the injector at a fixed injector pulse width and frequency, which causes the stack to generate a constant current, and therefore, a constant fuel consumption rate. While at a constant current, the injector is commanded to a constant duty cycle and frequency that matches the rate of fuel consumption in the fuel cell system. The resulting fuel pressure feedback is then monitored, and if it diverges from a defined nominal value, either in a constant or oscillatory manner, it can be determined that the injector has an intermittent opening failure. In one embodiment, the determination of the injector failure is performed during a shut-down sequence of the fuel cell system.

The invention discloses an active diagnosis method of an electric vehicle fault, belonging to the technical field of electric vehicles. The method comprises the steps that: (S1) a host computer system monitors a selected current vehicle fault and sending a fault diagnosis instruction to a whole vehicle controller, (S2) the whole vehicle controller reads a fault code of the current vehicle fault according to the received fault diagnosis instruction and starts a diagnostic strategy corresponding to the fault code, (S3) the whole vehicle controller sends a current vehicle fault reason code obtained through diagnosis to the host computer system, and (S4) the host computer system searches a reason of the current vehicle fault and a fault solution in a database according to the received current vehicle fault reason code and carries out text display. Through the communication between the host computer system and the whole vehicle controller, the vehicle fault is actively diagnosed, and the accuracy and efficiency of the fault diagnosis are improved.

The invention discloses a diagnostic strategy for an engine EGR System and the engine EGR system. The engine EGR system comprises an EGR pipeline, a differential pressure sensor and a controller, wherein an EGR cooler and an EGR valve are arranged on the EGR pipeline, and the air inlet end of the EGR valve is connected with the air outlet end of the EGR cooler; the inlet end of the differential pressure sensor is selectively in communication with one of a first point and a second point on the EGR pipeline, the first point is located at the air inlet end of the EGR cooler, the second point is located between the air outlet end of the EGR cooler and the air inlet end of the EGR valve, the outlet end of the pressure difference sensor is connected with the EGR pipeline, and a connecting pointis located at the air outlet end of the EGR valve; and the controller is in communication connection with the differential pressure sensor. According to the engine EGR system, the blockage condition detection of the EGR cooler and the EGR valve can be realized, the EGR rate can be accurately adjusted, and the problem that engine deflagration and oil consumption are increased due to inaccurate EGRrate adjustment are avoided.

A power supply diagnostic strategy for discrete power supply diagnostic states is independent of the underlying memory structure. The values used in the associated algorithm are selected to ensure that random linked failures will be detected. This applies to planar memory structures with 1, 2, 4, 6, 8, 12, and 16 common lattices, or physical memory structures with individual bit dispersed memories with 1, 2, 4, 6, 8, 12, and 16 consecutive bit splices. Further, the strategy provides that the various monitored voltage tables remains distinct even with compiler optimization activated.

The invention discloses a testability modeling method based on a hybrid diagnostic model. According to the method, on the basis of the hybrid diagnostic model, system level testability modeling is realized through adoption of a hierarchical modeling method; on this basis, component level testability modeling is realized through integrating a structure model, a test description model, a maintenance model and a diagnostic model. In the outline design stage of a device, module division and function description are realized through top-down modeling; and in the detailed design stage of the device, the detailed design of each function module is realized through bottom-up modeling. The method is significant in improving the testability and diagnostic level of the device, reducing the whole life cycle cost, accelerating upgrade and update of the device and effectively shortening the development cycle of the device. According to the method, the diagnostic strategy of the hybrid diagnostic model is optimized through adoption of a diagnostic method based on a particle swarm optimization algorithm. Through adoption of the method, fault isolation precision demanded by the user and the diagnostic strategy with relatively low average test cost can be generated. The method has the practical application value specific to the complex device.

The invention provides an intelligent traditional Chinese medicine pulse diagnosis method and system. The method comprises the following steps: acquiring pulse condition data of a plurality of patients and diagnosis results of a physician on a plurality of patients respectively; generating a plurality of groups of diagnostic data corresponding to the physician and the plurality of patients according to pulse condition data and diagnosis results; generating a diagnosis database corresponding to the physician according to a plurality of groups of diagnostic data corresponding to the physician and the plurality of patients; and using an artificial intelligence technology to analyze characteristics of the diagnostic data in the diagnosis database to generate a characteristic diagnostic strategy corresponding to the physician, or using the artificial intelligence technology to analyze characteristics of a general database formed by a plurality of diagnostic databases to generate a general diagnostic strategy corresponding to a plurality of physicians. The method provided by the invention can generate a distinctive diagnosis strategy corresponding to each physician and a general diagnosis strategy corresponding to a plurality of physicians, thereby conveniently providing diagnosis references for other physicians, and further improving the accuracy of diagnosis results.

A system and method for diagnosing the oxidation catalyst of a vehicle includes an engine, an exhaust system in fluid communication with an exhaust port of the engine and an oxidation catalyst connected with the engine via the exhaust port to receive an exhaust stream from the engine. A controller is operable to determine the operating state of the engine and vehicle, calculate a heat release value for the oxidation catalyst and determine an ideal heat release value. The controller will determine the oxidation catalyst efficiency by calculating a ratio of the heat release value to the ideal heat release value.

The invention belongs to the technical field of fault diagnosis of equipment, and relates to a voice interaction-based fault diagnosis method. The voice interaction-based fault diagnosis method is characterized in that four parts: a voice interaction module, an IETM (interactive electronic technical manual) browser, an IETM content database and a command mode database, are designed. The voice interaction-based fault diagnosis method has the beneficial effects that a complicated fault diagnosis process is packaged, so troubleshooting personnel is easy to use and operate the voice interaction-based fault diagnosis method; the fault diagnosis capability of IETM is improved; as the voice interaction module is designed in the system, the troubleshooting personnel can drive the IETM fault diagnosis strategy to be executed only by voice without operating the IETM browser, so that the troubleshooting efficiency is improved; a diagnosis result voice signal of the troubleshooting personnel is matched with a command mode, so that the recognition accuracy of a diagnosis result is improved, and the matching failure rate caused by the fact that the voice is noisy is reduced; the portability is good; voice interaction and interface display are synchronous, and can be used for equipment troubleshooting site work and the site appraisal of the troubleshooting personnel; the voice interaction-based fault diagnosis method is high in environmental suitability, and is not limited by light rays or work space.

The invention discloses a method for diagnosing a short circuit fault of a power system power transmission line based on deterministic learning. The method for diagnosing the short circuit fault of the power system power transmission line based on deterministic learning is specifically carried out according to the following steps that S1, a multi-machine power system model is established; S2, short circuit fault dynamics, fault impact set, and subsystem fault set are defined; S3, the short circuit fault dynamics is learned; S4, a short circuit fault monitor and a residual norm are constructed;S5, a shortcircuit fault rapid diagnostic strategy is designed and used for rapid diagnosis of the shortcircuit fault on the power transmission line. By using the deterministic learning method, it can be ensured that some continuous excitation conditions are met, thus it is ensured that neural network weights converge to the optimal value;by using a local activation operator, only neurons near asystem trajectory can be activated, thus calculated load is greatly reduced,and rapid shortcircuit fault diagnosis can be realizedby using knowledge.

The invention provides an embedded fault diagnosis method based on a correlation matrix. The embedded fault diagnosis method comprises the steps of: step 1, establishing a correlation model, and optimizing a D matrix of the correlation model; step 2, judging whether failure patterns are failures bound to occur, possible failures, or failures certainly not going to occur; step 3, judging whether isolation units are isolation units bound to fail, isolation units possibly fail, or isolation units certainly not going to fail; step 4, and deploying a diagnostic strategy. By using the embedded faultdiagnosis method, all failure patterns of a product can be diagnosed and the faulty isolation units are isolated within a short time. Through implementing diagnosis and isolation of product failuresby adopting the embedded fault diagnosis method, the diagnosis of the failure patterns can be realized based on the correlation matrix obtained through a testability model, and the generated diagnostic strategy can be deployed to the operation process of the actual product.