Patent ID: 9535808
Date: 2017-01-03
CPC Classifications: G05B,G06F,G06N

Claim:
1. A system for performing failure signature recognition training for at least one unit of equipment, the system comprising: memory; a network interface configured to: receive a sensor data signal including sensor data relating to the unit of equipment; receive a failure information signal including failure information relating to equipment failures; and one or more processors in communication with the memory and the network interface, the one or more processors being configured by computer code to analyze the sensor data in view of the failure information in order to develop at least one learning agent for performing failure signature recognition with respect to the at least one unit of equipment wherein machine learning is used during a training phase to adjust parameters of the failure agent to successfully predict failures identified by the failure information and to bias the parameters to avoid at least one of false positive errors and false negative errors wherein the one or more processors are further configured by the computer code to store the sensor data within a memory wherein the sensor data covers a plurality of intervals and is stored along with metadata to flag ones of the plurality of intervals associated with failure intervals and ones of the plurality of intervals associated with normal intervals.