143 results about "Diagnostic algorithms" patented technology

An integrated control and diagnostics system for a controlled system (e.g., a motor) includes a diagnostics module and a controller coupled to the motor. To optimize operation, the diagnostics information signal is used to modify the control provided by the controller as required. Moreover, the output of the control module is coupled to the diagnostics module so that the health assessment made by the diagnostics module can be based at least in part on the output of the controller. The invention uses a model-based diagnostics approach that allows integration of control algorithms with diagnostics algorithms to intelligently trade off optimizing performance to avert or accommodate failures, and to meet performance requirements in a wide range of applications.

A center-side processing system and monitoring processing systems of monitoring objects are connected through a network. The center-side processing system includes a module for producing monitoring and diagnostic algorithms of the monitoring objects, software producing module for producing monitoring and diagnostic software from the monitoring and diagnostic algorithm, a module for producing a transmission schedule of the monitoring and diagnostic software, transmitting module for transmitting software according to the transmission schedule, a module for correcting and changing the monitoring and diagnostic software from data received from the monitoring processing system, and verification module for performing verification before the transmission of the monitoring and diagnostic software. Each of the monitoring processing systems includes a module for receiving the monitoring and diagnostic software, execution processing module for executing the monitoring and diagnostic software, a module for automatically verifying the monitoring and diagnostic software, and transmitting module.

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 present invention such as active diagnostic algorithms is developed not only to realize the early detection of degraded vacuum pumps for the protection of pump failure but also to provide their predictive maintenance. According to the present invention, it is possible to find simple and effective ways to deal with technical problems arising from the large variability of the pump-by-pump operation characteristics and the multiple process conditions where pumps run under the idle operation and gas-loaded operation conditions alternately, especially in semiconductor manufacturing process.

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 microprocessor performs the diagnostic program instructions and responsively diagnoses operation of the process based upon the process signal.

The present invention such as active diagnostic algorithms is developed not only to realize the early detection of degraded vacuum pumps for the protection of pump failure but also to provide their predictive maintenance. According to the present invention, it is possible to find simple and effective ways to deal with technical problems arising from the large variability of the pump-by-pump operation characteristics and the multiple process conditions where pumps run under the idle operation and gas-loaded operation conditions alternately, especially in semiconductor manufacturing process.

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.

The invention proposes a partial discharge diagnosis method for power equipment based on data enhancement and a neural network. Specific to partial discharge data detected when power equipment such astransformers, GISs (Geographic Information Systems) and switch cabinets has defects, the sample size is enriched and a sample database is established by various data enhancement methods, and different neural networks are adopted for training according to the characteristics of different power equipment types and defect types, so that a diagnosis algorithm with higher generalization ability and higher diagnosis pertinence for different faults of different power equipment is obtained, and the partial discharge diagnosis accuracy of the power equipment is improved.

The present invention such as active diagnostic algorithms is developed not only to realize the early detection of degraded vacuum pumps for the protection of pump failure but also to provide their predictive maintenance. According to the present invention, it is possible to find simple and effective ways to deal with technical problems arising from the large variability of the pump-by-pump operation characteristics and the multiple process conditions where pumps run under the idle operation and gas-loaded operation conditions alternately, especially in semiconductor manufacturing process.

The invention belongs to the fields of facility agriculture, a computer technology and an automatic control technology. The invention provides a crop greenhouse cultivation expert control system and a disease diagnostic algorithm of a disease diagnosis subsystem thereof. The crop greenhouse cultivation expert control system is mainly characterized in that the crop greenhouse cultivation expert control system is connected with an environment parameter detecting system, a crop growth condition detecting system and an environment conditioning system, and has main functions of environment parameter decision of crop cultivation, growth condition classification, pathologic diagnosis indirection and the like. The disease diagnostic algorithm of the disease diagnosis subsystem comprises a crop disease characteristic knowledge encoding expression manner and a disease characteristic extraction algorithm. An expert system knowledge base can be replaced in an assorted manner according to relevance among subsystems of different crops, so as to be used as a greenhouse cultivation expert system for the different crops. The crop greenhouse cultivation expert control system provided by the invention has simple volume, is simple and easy to operate, can be independently used or used by means of being assorted with an external system, and other advantages. The crop greenhouse cultivation expert control system is very suitable for an agricultural greenhouse cultivation producer to use, and has a great development prospect.

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.