| Patent application number | Description | Published |
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| 20090112334 | Fixed-point virtual sensor control system and method - One aspect of the present disclosure includes a method for a control system of a machine. The method may include establishing a virtual sensor model indicative of interrelationships between at least one sensing parameter and a plurality of measured parameters related to the machine. The method may also include obtaining data and function information representing the virtual sensor model and converting the data information into fixed-point representation. Further, the method may include converting the function information into fixed-point representation and loading the converted fixed-point representation of data information and function information in the control system such that the control system uses the virtual sensor model in fixed-point arithmetic operation. | 04-30-2009 |
| 20090118841 | Virtual sensor network (VSN) system and method - A method is used for providing sensing data to a control system of a machine. The method may include providing a plurality of virtual sensors, each of which may have a model type, at least one input parameter, and at least one output parameter. The method may also include integrating the plurality of virtual sensors into a virtual sensor network; determining interdependencies among the plurality of virtual sensors; and obtaining operational information of the plurality of virtual sensors. Further, the method may include determining a first condition under which the virtual sensor network is unfit to provide one or more virtual sensor output parameter to the control system based on the determined interdependencies and the operational information; and presenting the determined first condition to the control system. | 05-07-2009 |
| 20090119065 | Virtual sensor network (VSN) system and method - A method is used for providing sensing data to a control system of a machine. The method may include providing a plurality of virtual sensors, each of which may have a model type, at least one input parameter, and at least one output parameter. The method may also include integrating the plurality of virtual sensors into a virtual sensor network; determining interdependencies among the plurality of virtual sensors; and obtaining operational information of the plurality of virtual sensors. Further, the method may include recording measurement data and performance information of the virtual sensor network and the plurality of virtual sensors; and generating one or more calibration certificate of the virtual sensor network based on the operational information, the measurement data, and the performance information. | 05-07-2009 |
| 20090293457 | System and method for controlling NOx reactant supply - A method is provided for a selective catalytic reduction (SCR) system for reducing a pollutant emission level in exhaust gas of an engine on a machine. The method may include providing a plurality of virtual sensors each having a model type, at least one input parameter, and at least one output parameter. The plurality of virtual sensors may include a first virtual sensor for measuring an emission level of a first component the pollutant and a second virtual sensor for measuring an emission level of a second component the pollutant. The method may also include integrating the plurality of virtual sensors into a virtual sensor network; operating the virtual sensor network to provide the first component emission level and the second component emission level; and calculating a ratio between the first component and the second component based on the first component emission level and the second component emission level. Further, the method may include determining a reactant injection rate of a reactant of the SCR system based on the ratio; and controlling the SCR system to apply the reactant at the reactant injection rate to reduce the pollutant emission level to a desired range. | 12-03-2009 |
| 20100050025 | Virtual sensor network (VSN) based control system and method - A method for providing a virtual sensor network based system. The method may include obtaining project data descriptive of a virtual sensor network to be used in a control system of a machine; establishing a virtual sensor network including a plurality of virtual sensors based on the project data. Each virtual sensor may have a model type, at least one input parameter, and at least one output parameter. The method may also include recording model information, measurement data, and performance information of the virtual sensor network including the plurality of virtual sensors; creating one or more calibration certificates of the virtual sensor network including a plurality of virtual sensors based on the model information, the measurement data, and the performance information; and generating a documentation package associated with the virtual sensor network. The documentation package may include at least an identification, the project data, and at least one calibration certificate of the virtual sensor network including a plurality of virtual sensors. | 02-25-2010 |
| Patent application number | Description | Published |
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| 20090132216 | Asymmetric random scatter process for probabilistic modeling system for product design - A method is provided for designing a product. The method may include obtaining data records relating to one or more input variables and one or more output parameters associated with the product and selecting one or more input parameters from the one or more input variables. The method may also include generating a computational model indicative of interrelationships between the one or more input parameters and the one or more output parameters based on the data records and providing a set of constraints to the computational model representative of a compliance state for the product. Further the method may include using the computational model and the provided set of constraints to generate statistical distributions for the one or more input parameters based on an asymmetric random scatter process and the one or more output parameters. The one or more input parameters and the one or more output parameters represent a design for the product. | 05-21-2009 |
| 20100004898 | Method and system for pre-processing data using the Mahalanobis Distance (MD) - A computer-implemented method for pre-processing data. The method may include detecting one or more erroneous vectors in a plurality of vectors, detecting one or more erroneous elements in the one or more erroneous vectors, and deleting the detected one or more erroneous elements. The method may also include detecting one or more missing elements in the plurality of vectors. Further, the method may include populating one or more offending vectors that include one or more missing elements and/or deleted erroneous elements with one or more elements that are based on a distance metric. | 01-07-2010 |
| 20100004901 | System and method for transforming data between the time domain and the combustion pulse domain - A method for transforming machine sensor data between a time domain and a combustion pulse domain is disclosed. The method may include determining a number of pulse events per rotation of a shaft and determining a sampling rate per pulse event. The method may also include sampling one or more sensors at the sampling rate per pulse event. The method also may include transforming the samples into the combustion pulse domain. | 01-07-2010 |
| 20110153035 | Sensor Failure Detection System And Method - This disclosure relates to a system and method for detecting sensor failure and controlling a machine. The system includes a plurality of physical sensors, an electronic control module operably connected to the plurality of physical sensors, and a data storage unit operably connected to the electronic control module. The electronic control module is configured to retrieve calibration data associated with a plurality of input parameters, obtain a set of values of the plurality of input parameters, calculate a Mahalanobis distance of the set of values of the input parameters based on the calibration data, increment an evidence score of an input parameter if the Mahalanobis distance exceeds a threshold Mahalanobis distance value; and command a machine action when the evidence score of an input parameter exceeds an threshold evidence score value. | 06-23-2011 |
