# Anthony J. Grichnik, Peoria US

## Anthony J. Grichnik, Peoria, IL US

Patent application number | Description | Published |
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20080201054 | Virtual sensor based engine control system and method - A method is provided for a virtual sensor system. The method may include obtaining data records associated with a plurality of input parameters and at least one output parameter and adjusting values of the input parameters based on autocorrelation of respective input parameters. The method may also include reconfiguring the input parameters based on cross-correlation of respective input parameters relative to the output parameter and establishing a first virtual sensor process model indicative of interrelationships between the adjusted and reconfigured input parameters and the output parameter. | 08-21-2008 |

20080301499 | Method and system for determining a corrective action - A computer-implemented method is provided for determining a corrective action. The method may include obtaining diagnostic data and calculating, using the diagnostic data, a prognostic. The method may also include retrieving, when the prognostic is above an alarm level, historical records and calculating a Bayesian posterior probability using the diagnostic data and the historical records. Further, the method may include calculating a prognostic prescience metric using the diagnostic data and the historical records and determining, based on the Bayesian posterior probability and the prognostic prescience metric, the corrective action. | 12-04-2008 |

20080312756 | Virtual sensor system and method - A method is provide for providing sensors for a machine. The method may include obtaining data records including data from a plurality of sensors for the machine and determining a virtual sensor corresponding to one of the plurality of sensors. The method may also include establishing a virtual sensor process model of the virtual sensor indicative of interrelationships between at least one sensing parameters and a plurality of measured parameters based on the data records and obtaining a set of values corresponding to the plurality of measured parameters. Further, the method may include calculating the values of the at least one sensing parameters substantially simultaneously based upon the set of values corresponding to the plurality of measured parameters and the virtual sensor process model and providing the values of the at least one sensing parameters to a control system. | 12-18-2008 |

20090006153 | Evaluation tool for adjusting resale of machine components - A computer system for a prognostic evaluation system is provided. The computer system has a platform, at least one input device, and a central processing unit in communication with the platform and the at least one input device. The central processing unit is configured to receive use history information for a piece of equipment. The central processing unit is also configured to perform prognostic analysis based on the received use history information and to determine an estimated remaining life for the piece of equipment based on the prognostic analysis. The central processing unit is further configured to generate a report for the piece of equipment based on the prognostic analysis and to provide the generated report to a user. | 01-01-2009 |

20090024367 | 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 pre-processing the data records based on characteristics of the input variables. The method may also include selecting one or more input parameters from the one or more input variables; and 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. Further, the method may include providing a set of constraints to the computational model representative of a compliance state for the product; and using the computational model and the provided set of constraints to generate statistical distributions for the one or more input parameters and the one or more output parameters, wherein the one or more input parameters and the one or more output parameters represent a design for the product. | 01-22-2009 |

20090037153 | Product design optimization method and system - A method is provided for developing a product. The method may include obtaining data records from a plurality of stages of development of the product; identifying respective objectives of the plurality of stages and corresponding objective factors of the objectives; and determining common variables associated with the objectives based on the objective factors. The method may also include selecting one or more input parameters based on the common variables and one or more output parameters based on the objectives; and updating the data records to generate desired data records indicative characteristics of the one or more input parameters and the one or more output parameters. Further, the method may 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 design of the product. | 02-05-2009 |

20090055217 | Method and system for identifying and communicating a health risk - A method is provided for identifying and communicating a health risk to an individual. The method may include obtaining health information for an individual and predicting, based on the health information, a risk of the individual contracting a disease. The method may also include calculating a rate of change of the risk and calculating a forecasted risk based on the rate of change. Further, the method may include initiating a present action when the forecasted risk is above a first predetermined threshold at a future time. | 02-26-2009 |

20090062621 | Method and system for prioritizing communication of a health risk - System and methods are provided for prioritizing communication of a health risk. The method may include obtaining health information for individuals and determining, based on the health information, a risk of each individual contracting each of plurality of diseases. The method may also include calculating, based on the risks, an average risk of each individual contracting the diseases and selecting a subset of the individuals based on the average risks. Further, the method may include calculating an improved risk by making lifestyle changes for the subset of the individuals and communicating the health risks and the lifestyle changes to individuals in the subset based on the amount of improved risk. | 03-05-2009 |

20090063087 | Virtual sensor based control system and method - A method for a virtual sensor system corresponding to a target physical sensor is provided. The method may include selecting a plurality of measured parameters provided by a set of physical sensors based on operational characteristics of the virtual sensor system. The method may also include establishing a virtual sensor process model indicative of interrelationships between one or more sensing parameter and the plurality of measured parameters. Further the method may include obtaining a set of values corresponding to the plurality of measured parameters; calculating a value of the sensing parameter based upon the set of values corresponding to the plurality of measured parameters and the virtual sensor process model; and providing the value of the sensing parameter to a control system. | 03-05-2009 |

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 |

20090119323 | Method and system for reducing a data set - System and methods are provided for applying a dimensionality reduction process to a data set. The method includes obtaining a data set including a first set of variables and identifying collections of the first set of variables for replacement by a second set of variables. The method also includes replacing the collections of the first set of variables with the second set of variables and eliminating the first set of variables from the data set. | 05-07-2009 |

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 |

20090256077 | Health monitoring through a correlation of thermal images and temperature data - A method of correlating thermal sensors data with temperature sensor data is disclosed. The method may include generating one or more temperature sensor data points and receiving the one or more temperature sensor data points at a remote location. The method may also include generating one or more thermal sensor data points or images and receiving the one or more thermal sensor data points or images at the remote location. Additionally, the method may include correlating the one or more thermal sensor data points or images based on the one or more temperature sensor data points and generating a notification when a temperature of one or more correlated thermal sensor data points or images fails to maintain a determined relationship with a preset limit in one or more locations other than the location of one or more temperature sensor data point. | 10-15-2009 |

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 |

20090300422 | Analysis method and system using virtual sensors - A method for analyzing operations of a plurality of machines communicating with a server computer. The method may include establishing a plurality of virtual sensors corresponding to a plurality of engine systems of the respective plurality of machines. Each virtual sensor may be indicative of interrelationships between a plurality of input parameters and a plurality of output parameters of an engine system. The method may also include determining an operational accuracy of each virtual sensor, and calculating a score of each machine based on the operational accuracy of a virtual sensor of the machine. Further, the method may include ranking the plurality of machines based upon the score of each machine, scheduling maintenance for a certain number of machines based on the ranking of the plurality of machines, and providing automatic notification of the scheduled maintenance. | 12-03-2009 |

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 |

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 |

20100076806 | Inventory management tool using a criticality measure - A computer system for an inventory management tool using a criticality measure is disclosed. The computer system has a memory, at least one input device, and a central processing unit in communication with the memory and the at least one input device. The central processing unit calculates an amount of existing inventory for one or more parts used to produce a product and determines a lead time to receive the one or more parts. The central processing unit also determines a build time to produce the parts into the product and receives a criticality measure for the product, the criticality measure indicating an order time for delivering the product. Further, the central processing unit adjusts a supply chain process for the parts based on the lead time, the build time, and the criticality measure. | 03-25-2010 |

20100250202 | SYMMETRIC 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 a symmetric 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. | 09-30-2010 |

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 |