Abstract: An aspect of the present invention is to provide a system and method for predicting the remaining useful time of mechanical components such as bearings. Another aspect of the present invention is to provide a system and method for predicting the remaining useful time of bearings based on available condition monitoring data. Another aspect of the present invention is to provide a system and method for automatically deciding which columns of input information are the most significant for predicting the remaining useful life of bearings. Another aspect of the present invention is to provide a system and method for performing an analysis of both test bearings and training bearings and determining which training bearings are most similar to a given test bearing. Another aspect of the present invention is to provide a system and method for training an artificial neural network.

Abstract: A system and method for creating a core cognitive fingerprint. A core cognitive fingerprint can be used to capture the evolution of a system state and potentially respond with a predetermined action if the fingerprint falls within a threshold. The method includes: identifying a set of time frames within which data is extracted; providing a plurality of pattern recognizers; processing the extracted data through the plurality of pattern recognizers to generate an initial set of elements; extracting identified relationships amongst the initial set of elements; modifying the initial set of elements to include the identified relationships to create an intermediate set of elements; comparing the intermediate set of elements against assigned values to weigh each element in the intermediate set of elements to create a final set of elements; and using the final set of elements as a cognitive fingerprint.

Abstract: A system and method for creating a core cognitive fingerprint. A core cognitive fingerprint can be used to capture the evolution of a system state and potentially respond with a predetermined action if the fingerprint falls within a threshold. The method includes: identifying a set of time frames within which data is extracted; providing a plurality of pattern recognizers; processing the extracted data through the plurality of pattern recognizers to generate an initial set of elements; extracting identified relationships amongst the initial set of elements; modifying the initial set of elements to include the identified relationships to create an intermediate set of elements; comparing the intermediate set of elements against assigned values to weigh each element in the intermediate set of elements to create a final set of elements; and using the final set of elements as a cognitive fingerprint.

Abstract: An aspect of the present invention is to provide a system and method for predicting the remaining useful time of mechanical components such as bearings. Another aspect of the present invention is to provide a system and method for predicting the remaining useful time of bearings based on available condition monitoring data. Another aspect of the present invention is to provide a system and method for automatically deciding which columns of input information are the most significant for predicting the remaining useful life of bearings. Another aspect of the present invention is to provide a system and method for performing an analysis of both test bearings and training bearings and determining which training bearings are most similar to a given test bearing. Another aspect of the present invention is to provide a system and method for training an artificial neural network.