Detecting or predicting system faults in cooling systems in a non-intrusive manner using deep learning

A computer program product for detecting or predicting system faults in cooling systems, the computer program product comprising one or more non-transitory computer readable storage mediums having program code embodied therewith, the program code comprising programming instructions for:

• building and training a model to detect or predict a system fault in a cooling system based on acoustic emission signals in a temporal domain and a frequency domain;
• receiving acoustic emission signals from said cooling system in a temporal domain;
• converting said acoustic emission signals from said temporal domain to a frequency domain;
• and
• detecting or predicting a system fault in said cooling system using said trained model based on said acoustic emission signals received from said cooling system in said temporal and frequency domains;
• and
• implementing a remedial or a preventive measure based on said detected or predicted system fault, wherein said cooling system is utilized to remove and dissipate heat from a device, wherein said remedial measure comprises cooling said device, and wherein said preventive measure comprises preventing overheating or overcooling of said device.

A system, comprising:

• a memory for storing a computer program for detecting or predicting system faults in cooling systems;
• and
• a processor connected to said memory, wherein said processor is configured to execute program instructions of the computer program comprising:
• building and training a model to detect or predict a system fault in a cooling system based on acoustic emission signals in a temporal domain and a frequency domain;
• receiving acoustic emission signals from said cooling system in a temporal domain;
• converting said acoustic emission signals from said temporal domain to a frequency domain;
• and
• detecting or predicting a system fault in said cooling system using said trained model based on said acoustic emission signals received from said cooling system in said temporal and frequency domains;
• and
• implementing a remedial or a preventive measure based on said detected or predicted system fault, wherein said cooling system is utilized to remove and dissipate heat from a device, wherein said remedial measure comprises cooling said device, and wherein said preventive measure comprises preventing overheating or overcooling of said device.