| Patent application number | Description | Published |
|---|
| 20080306705 | APPARATUS AND METHOD FOR IDENTIFYING A DEFECT AND/OR OPERATING CHARACTERISTIC OF A SYSTEM - An apparatus and methods for identifying a defect and/or an operating characteristic of a system being monitored (and/or one or more of the system's components) are described. In an embodiment, orthogonally related data monitored by two or more detectors may be fused to determine whether a component of a system is defective and/or malfunctioning. Additionally or alternatively, data from a first detector may be determined to be accurate using non-orthogonally related data outputted by a second detector. Both types of determinations may be made with minimal or no false indications, which lowers the cost of operating the system being monitored. Embodiments of the invention may also be configured to forecast and/or prevent accidents and/or damage to the system being monitored by predicting whether a defect and/or a malfunction will occur | 12-11-2008 |
| 20090045804 | Cognitive electric power meter - An electric power meter includes an embedded decomposition module that is configured to decompose a power meter signal into constituent loads to segregate and identify energy consumption associated with each individual energy consumption device within a plurality of energy consumption devices coupled to the power meter. | 02-19-2009 |
| 20100141441 | APPARATUS AND METHOD FOR IDENTIFYING A DEFECT AND/OR OPERATING CHARACTERISTIC OF A SYSTEM - An apparatus and methods for identifying a defect and/or an operating characteristic of a system being monitored (and/or one or more of the system's components) are described. In an embodiment, orthogonally related data monitored by two or more detectors may be fused to determine whether a component of a system is defective and/or malfunctioning. Additionally or alternatively, data from a first detector may be determined to be accurate using non-orthogonally related data outputted by a second detector. Both types of determinations may be made with minimal or no false indications, which lowers the cost of operating the system being monitored. Embodiments of the invention may also be configured to forecast and/or prevent accidents and/or damage to the system being monitored by predicting whether a defect and/or a malfunction will occur | 06-10-2010 |
| 20100305889 | NON-INTRUSIVE APPLIANCE LOAD IDENTIFICATION USING CASCADED COGNITIVE LEARNING - A method of identifying energy consumption associated with at least one appliance is provided. The method includes measuring an energy consumption signal, obtaining publicly available information of a location of the at least one appliance and estimating a plurality of probabilities of energized appliances based on the energy consumption signal and the publicly available information. The method further includes generating a new combination of the estimated plurality of probabilities of energized appliances and decomposing the at least one energy consumption signal into constituent individual loads and corresponding energy consumption. | 12-02-2010 |
