Abstract: A system, method and computer program for predictive maintenance on natural gas compressors through auditory detection. Using one or multiple microphones, a system will collect and evaluate sound waves for the purpose of predicting and detecting failures and alert conditions in mechanical and process equipment. The system will collect sound which is used in a machine learning environment to utilize supervised training as well as unsupervised training, to produce a normal baseline and detect abnormal operations. Additionally, abnormal operations are categorized against known conditions. For uncategorized and unknown conditions, a workflow is in place to allow for the retraining and learning” of new conditions which are then published to the entire network of devices.

Abstract: A system, method and computer program for predictive maintenance on natural gas compressors through auditory detection. Using one or multiple microphones, a system will collect and evaluate sound waves for the purpose of predicting and detecting failures and alert conditions in mechanical and process equipment. The system will collect sound which is used in a machine learning environment to utilize supervised training as well as unsupervised training, to produce a normal baseline and detect abnormal operations. Additionally, abnormal operations are categorized against known conditions. For uncategorized and unknown conditions, a workflow is in place to allow for the retraining and learning” of new conditions which are then published to the entire network of devices.