Taware
Avinash Taware, Rexford, NY US
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20110098975 | CONTROL SYSTEM AND METHODS OF VERIFYING OPERATION OF AT LEAST ONE WIND TURBINE SENSOR - A method of verifying operation of at least one wind turbine sensor includes dynamically defining a neighborhood of neighbor wind turbines for a first wind turbine, each neighbor wind turbine including at least one sensor. The method also includes receiving data from at least one neighbor wind turbine sensor and determining a status of at least one sensor of the first wind turbine using the data received from the neighbor wind turbine sensor. | 04-28-2011 |
Avinash Vinayak Taware, Rexford, NY US
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20090295561 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20090299695 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes sensing actual values of an operating condition for an operating regime of the asset system using at least one sensor; estimating sensed values of the operating condition by using an auto-associative neural network; determining a residual vector between the estimated sensed values and the actual values; and performing a fault diagnostic on the residual vector. In another method, an operating space of the asset system is segmented into operating regimes; the auto-associative neural network determines estimates of actual measured values; a residual vector is determined from the auto-associative neural network; a fault diagnostic is performed on the residual vector; and a change of the operation of the asset system is determined by analysis of the residual vector. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20090300417 | SYSTEM AND METHOD FOR ADVANCED CONDITION MONITORING OF AN ASSET SYSTEM - A method for advanced condition monitoring of an asset system includes using a plurality of auto-associative neural networks to determine estimates of actual values sensed by at least one sensor in at least one of the plurality of operating regimes; determining a residual between the estimated sensed values and the actual values sensed by the at least one sensor from each of the plurality of auto-associative neural networks; and combining the residuals by using a fuzzy supervisory model blender; performing a fault diagnostic on the combined residuals; and determining a change of the operation of the asset system by analysis of the combined residuals. An alert is provided if necessary. A smart sensor system includes an on-board processing unit for performing the method of the invention. | 12-03-2009 |
20100305912 | REAL-TIME SCHEDULING OF LINEAR MODELS FOR CONTROL AND ESTIMATION - A method of generating linear models for a physical system of interest is implemented in steps including, first, determining offline, a set of linear models for the physical system of interest by linearization of a nonlinear computational model of the physical system of interest at selected operating points or from desired data; second, analyzing offline, accuracy of each linear model and eliminating inaccurate linear models therefrom to provide a residual set of linear models; third, generating offline, linear models corresponding to grid points of one or more lookup tables based on the residual set of linear models; fourth, associating offline, lookup table grid points with selected scheduling variables, and fifth, generating algorithmic software for the physical system therefrom such that linear models for the physical system generated offline form the basis for online scheduling of linear models. | 12-02-2010 |
Avinash Vinayak Taware, Niskayuna, NY US
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20080218758 | METHOD, SYSTEM AND MODULE FOR MONITORING A POWER GENERATING SYSTEM - A sensing module positioned about an optical fiber cable having a long axis. The optical fiber includes a core that transmits light through the optical fiber cable. The sensing module includes a first short-period fiber grating positioned about the core. A second short-period fiber grating is positioned about the core and at a distance along the long axis with respect to the first short-period fiber grating. At least one of a long-aperiod fiber grating and a long-period fiber grating is positioned between the first short-period fiber grating and the second short-period fiber grating. A fiber cladding is positioned around the long-period grating and/or the long-aperiod grating of the sensing module. A sensing skin is positioned about the fiber cladding and includes a chemical gas active material. | 09-11-2008 |
20080219618 | METHODS OF MAKING AND OPERATING A FIBER OPTIC SENSING DEVICE - In accordance with one exemplary embodiment the invention provides a multi-parameter fiber optic sensing system with an aperiodic sapphire fiber grating as sensing element for simultaneous temperature, strain, NO | 09-11-2008 |
Avinash Vinayak Taware, Warwick, PA US
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20130179128 | System And Method For Selecting A Representative Sensor Set Of A Power Plant - A system for selecting a representative sensor set of a power plant is provided including a computer. The computer has a memory. The memory stores a list of all feasible sensor sets, and at least one variable that is used to calculate a local minimum value of a cost function and a cost function value. The computer includes control logic for executing an algorithm. The computer includes control logic for selecting a proposed sensor set from the list of all feasible sensor sets. The proposed sensor set is based on a specific iteration of the algorithm. The control module includes control logic for determining if the system is observable using the proposed sensor set. The control module includes control logic for determining if the cost function value is less than the local minimum value of the cost function, if the system is observable using the proposed sensor set. | 07-11-2013 |
20130184961 | METHODS AND SYSTEMS FOR MANAGING POWER OF AN ENGINE - A method and system for online power management of a turbine engine is provided. The method includes operating an engine control system on a first bandwidth, filtering at least one data input from the engine control system to a second bandwidth, and receiving, by a power management system operating on the second bandwidth, the at least one filtered data input. The method also includes predicting an engine operating condition using the at least one filtered data input using a closed-loop engine model, determining an optimal engine power management based on the prediction, solving a constrained optimization for a desired optimization objective, and outputting the optimal engine power management to the engine control system. | 07-18-2013 |
Sachin B. Taware, Pune IN
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20140231683 | Systems and Methods for Controlling Multistage Electronic Controlled Gas Valves - Disclosed herein are exemplary embodiments of an electronic control unit for controlling an electronic controlled multistage gas valve (MGV) for adjusting gas flow to a gas fired appliance. In an exemplary embodiment, an electronic control unit generally includes an integrated furnace control (IFC) unit, a multistage gas valve control (MGVC) unit electronically coupled to the IFC unit, and a coil electronically coupled to the MGVC unit. The IFC unit is operable for providing at least one power supply signal over a first communication line and at least one pulse width modulated (PWM) duty cycle signal over a second communication line to the MGVC unit for controlling at least one of energizing and de-energizing of the coil. The electronic controlled MGV is adapted to move in response to a magnetic field generated by the coil. | 08-21-2014 |
20150039153 | Controllers and Methods of Control of Water Heaters - A water heater that is controlled by a plurality of offsets depending on at least one of predicted current usage of the water heater and preset user set point temperature results in energy saving without affecting user comfort and eliminates the need for additional hardware. The average temperature of the water is lower than in the case where a single preset offset is adjusted, thereby resulting in energy saving. | 02-05-2015 |
Vinod Pramadrao Taware, Farmington, MI US
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20150162145 | STEERING COLUMN CONTROL MODULE - A steering column control module comprises a housing having at least two receptacles. A printed circuit board is mounted in the housing, the printed circuit board carrying first and second electrical connectors. A third electrical connector is mounted in the housing remote from the printed circuit board. A ribbon cable is connected between the second and third electrical connectors. The receptacles are adapted to receive respective switch modules. The first and third electrical connectors are positioned and configures so that, when plugged into respective receptacles, the switch modules connect to respective ones of the first and third electrical connectors. | 06-11-2015 |