| 摘要 |
A method for determining specific conditions occurring on industrial equipment based upon received signal data from sensors attached to the industrial equipment is provided. Using a server computer system, signal data is received and aggregated into feature vectors. Feature vectors represent a set of signal data over a particular range of time. The feature vectors are clustered into subsets of feature vectors based upon attributes the feature vectors. One or more sample episodes are received, where a sample episode includes sample feature vectors and specific classification labels assigned to the sample feature vectors. A signal data model is created that includes the associated feature vectors, clusters, and assigned classification labels. The signal data model is used to assign classification labels to newly received signal data using the mapping information for the existing feature vectors, existing clusters and associated classification labels to determine the specific conditions occurring on the industrial equipment. |
| 主权项 |
1. A method comprising:
using signal receiving instructions in a server computer system, receiving one or more sets of signal data that represent observed data values from one or more sensors that are attached to industrial equipment; using feature identification instructions, aggregating the one or more sets of signal data into one or more feature vectors, wherein the one or more feature vectors represent a set of the signal data over a particular range of time; using clustering instructions, determining one or more clusters for the one or more feature vectors, wherein the one or more clusters comprise a subset of feature vectors from the one or more feature vectors based upon attributes within the subset of feature vectors; using vector classification instructions, receiving one or more sample episodes that include sample feature vectors that have been assigned a classification label that represents a particular identified condition occurring on the industrial equipment; using the vector classification instructions, determining the classification label for the one or more clusters based upon the one or more sample episodes; using the vector classification instructions, generating and storing a signal data model that defines identified signal conditions that represent conditions occurring on the industrial equipment, wherein the identified signal conditions define mapping between a specific feature vector, a specific cluster, and a specific classification label. |
