142 results about "Diagnostic algorithms" patented technology

A method of testing an electric motor that is adapted to provide a desired electric motor output torque to a vehicle powertrain system comprising an engine and the electric motor which are operatively and selectively coupled to a transmission. The method includes the steps of determining an initial motor speed of the electric motor, determining a motor torque command as a function of the initial motor speed, applying the motor torque command to the electric motor to produce an output torque from the electric motor, measuring a resultant motor speed of the electric motor and establishing a motor status as a function of the resultant motor speed. The method may be implemented as a computer control and diagnostic algorithm.

A process variable transmitter with diagnostics based on power spectral density (PSD) analysis of a process variable sensor signal is provided. In one embodiment, the process variable transmitter is a pressure transmitter and the diagnostics are used to diagnose impulse line obstruction or impending obstruction. Other diagnostics are also useful such as diagnosing primary element degradation. The sensor signal is digitized and the digitized signal is transferred into the frequency domain. The power of the frequencies on the sensor signal is examined to provide the enhanced diagnostics. In one aspect diagnostics are generated directly with the sensor PSD data. In another aspect, the PSD analysis is used to tune a filter in order to enhance traditional diagnostic algorithms.

A field mountable dedicated process diagnostic device is used for diagnosing operation of an industrial control or monitoring system. An input is configured to receive at least one process signal related to operation of the industrial process. A memory contains diagnostic program instructions configured to implement a diagnostic algorithm using the process signal. The diagnostic algorithm is specific to the industrial process. A microcontroller performs the diagnostic program instructions and responsively diagnoses operation of the process based upon the process signal.

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.

This invention involves the use of the JTAG functional test patterns and exercisors to solve the problem of diagnosing broken scan chains in either a serial or a lateral broadside insertion manner across all latch system ports and to analyze the response data efficiently for the purpose of readily identifying switching and non-switching latches with the next to last non-switching latch being the point of the break within a defective scan chain(s). This comprehensive latch perturbation, in conjunction with iterative diagnostic algorithms is used to identify and to pinpoint the defective location in such a broken scan chain(s). This JTAG Functional test function and the JTAG test patterns ultimately derived therefrom, can take on different forms and origins, some external to a product and some internal to a product.

The invention discloses a gas path fault diagnostic method for a marine gas turbine based on a fuzzy Petri net (FPN), comprising the following steps of: (1) obtaining the operating standard value of the marine gas turbine; (2) based on an actually-measured value, calculating the membership grade of the actual operating parameter deviation belonging to the criterion deviation fuzzy subset by using a membership function; (3) defining the FPN in response to the characteristics of the fault diagnostic Petri net after determining the operating standard value and the deviation; and (4) determining a FPN reasoning algorithm for gas path fault diagnosis for the marine gas turbine based on related definitions of the transitional enabling and igniting rules. Through the gas path fault diagnostic method for the marine gas turbine based on the fuzzy Petri net (FPN), the defects of not strong university, wrong judgment and reasoning of the traditional method are overcome; it is actually proved that the problems of fuzziness and nondeterminacy in an gas path fault can be effectively solved by the gas path fault diagnostic algorithm for the marine gas turbine established by the gas path fault diagnostic method disclosed by the invention.

In a method for determining faulty components in a system having a plurality of interacting components, lists of potentially faulty components are prepared as a function of different diagnosis algorithms implemented independently of each other, and an error value is assigned to each potentially faulty component. The error values for at least one selection of components of the system are linked to form an error score value for a particular potentially faulty component.

The Cerebrospinal Fluid (CSF) Physiologic Controller is an implantable active battery-operated device that is microprocessor controlled via algorithms stored in its memory. The controller also contains numerous diagnostic features, which enable the physician to monitor the operation of the system, as well as several key patient parameters non-invasively, by performing a set of algorithms.

A machine includes a machine body and a dual fuel compression ignition engine attached to the machine body. A dual fuel system is operably coupled to supply the engine with liquid diesel fuel and natural gas fuel directly into respective cylinders of the engine. The fuel system includes an insulated tank for storing the natural gas fuel, a pressure sensor positioned to measure fluid pressure within the tank, and a pump for drawing the natural gas fuel from the tank. An electronic controller is in communication with the pressure sensor and has a cryogenic system diagnostics algorithm executable thereon that is configured to receive a pressure signal from the pressure sensor, detect a cryogenic system fault based on the signal, and generate a notification signal based on the fault.

A method for diagnosing a fault condition in a climate system is disclosed and a computer program product for doing the same. The climate system may be an HVAC system. The method comprises receiving current data from a climate system in a fault condition, calculating an anomaly score for the climate system from a first set of transition probabilities based on the current data and a second set of transition probabilities based on the climate system operating in a normal condition, and generating automatically a diagnosis of a first problem causing the fault condition when the anomaly score is above a predefined threshold. In an embodiment, the current data may include a plurality of operational Parameters of the climate system.

A multi-functional apparatus and method for diagnosing issues in an engine system with a SCR exhaust gas processing system and controlling reductant delivery to the SCR system. The apparatus includes a Venturi exhaust passage device with a reductant injector positioned on a transition from a low pressure passage to a downstream high pressure passage. Temperature and pressures in the Venturi exhaust passage device are measured, and an exhaust flow rate value is calculated. The exhaust flow rate value can be used in controlling reductant delivery, and with a downstream lambda sensing value, the exhaust flow rate value, and a temperature sensing value, a variety of issues in the engine system and the SCR system can be detected. No engine operating parameter is required in the SCR controls and diagnostic algorithms, and less reductant deposit is introduced due to the elimination of stagnant area in the exhaust passage device.

The invention discloses a simulation test method and device for an on-board diagnostics (OBD) function of a diesel engine after-treatment system. Various faults of a selective catalytic reduction (SCR) and diesel particulate filter (DPF) after-treatment system are summarized, fault features are extracted, and a set of virtual instrument-based electronic simulation test system for an OBD fault diagnosis function of the SCR and DPF system is established through the fault features, so that simulation of partial faults of the SCR and DPF system can be realized, and then the rapid test of the OBD fault diagnosis function is completed. In the process of development, acceptance and evaluation of an OBD diagnostic algorithm of the diesel engine after-treatment system, a large number of test verification work and test resources are reduced, and the development progress is improved. In addition, the method and device can well solve the problems that in an actual test environment, certain OBD faults are not easy or impossible to produce, so-called fault injection is supposed to be performed by a hardware-in-the-loop system, and immeasurable damage to a vehicle or an engine can be caused.

Methods and systems of the present invention generally relate to questionnaires and diagnostic algorithms. Features and principles of the present invention may include a method of generating a diagnostic algorithm. The method may involve receiving information reflecting a plurality of individuals' answers to questions, performing an analysis on the received information to generate a synthetic variable, and generating a diagnostic algorithm from at least the synthetic variable using a tree segmentation technique.

A method of pipelining a disease specific diagnostic algorithm on an n-bit data word stored in a memory whereby the n-bit data word is divided into clinical tests describing ranges of normal values. Then, each of the clinical tests of the n-bit data word is read out from memory. Upon receiving a first of the results of the clinical tests, the result is compared with the normal value and the detection algorithm is computed based on the first result. This results in continuation with the next test if positive or terminate if negative. The above-steps are repeated recursively until all of the required test in the diagnostic algorithm are computed to provide the complete diagnosis of a disease.

The invention provides a new energy vehicle maintenance and fault monitoring and diagnosis method based on machine learning, and relates to the field of new energy vehicle device monitoring and fault diagnosis application. According to the new energy vehicle maintenance and fault monitoring and diagnosis method based on machine learning, firstly, a vehicle state data set of a new energy vehicle is obtained, feature extraction is conducted on the vehicle state data set, a preliminary feature data set is formed, then the preliminary feature data set is pre-trained, and an embedded feature vector set is generated. And the embedded feature vector set is used as the input of a recurrent neural network for training to obtain a vehicle fault monitoring and diagnosis algorithm model, and finally monitoring and fault analysis are carried out on the vehicle state through the received vehicle state data based on the vehicle fault monitoring and diagnosis algorithm model. Therefore, the running condition of the vehicle can be effectively monitored in time, potential safety hazards and economic losses caused by vehicle faults can be avoided, and the running safety of the vehicle is improved.

A request is received over a network to resolve a problem relating to a networked user device. The request is accepted in order to provide user service. Based on the request, one of multiple available diagnostic algorithms is selected to analyze user data related to a user's account to identify symptoms of the problem and diagnose a cause of the symptoms identified.

The invention aims at providing a gas turbine adaptive gas circuit component performance diagnostic method based on the combination of a thermal model and particle swarm optimization. The method comprises the steps that the gas turbine nonlinear thermal model is established, gas circuit health indexes of a gas compressor and a turbine are redefined with similarity reduced parameters, gar circuit measurement parameters in a certain time frame in the stable running process of a current object gas turbine are collected and subjected to noise reduction processing and then serve as measurement parameters of a gas circuit to be subjected to offline diagnosis, and gas circuit health indexes of current components are obtained through iteration optimizing calculation of the particle swarm optimization and used for evaluating the practical performance health condition of the object gas turbine. By means of the method, the problem that the diagnostic precision of a traditional gas turbine gas circuit component performance diagnostic method is likely to be affected by changes of environment conditions and operation conditions is solved, the local optimization feature of the traditional diagnostic algorithm is changed, the accuracy of a diagnostic result is improved, the diagnostic process is simplified, and the method can be effectively applied to performance diagnostic situations with measurement noise and for complex gas turbine units.

A method for health monitoring of a damper associated with a landing gear is described which includes receiving sensor data from a pressure transducer and an accelerometer and optionally a thermal sensor operably mounted on or near the damper, a computer system, and applying, using the computer system, a diagnostic algorithm to the sensor data to induce and predict the health of the damper.