Abstract: A computer-implemented method, system, and computer program product for detecting or predicting the occurrence of critical heat flux in cooling systems. A model is built and trained to detect or predict the occurrence of critical heat flux in a cooling system based on acoustic data and/or image data. Such a model may be utilized to detect or predict the occurrence of critical heat flux in a cooling system by converting acoustic signals received from sensors remotely located from the cooling system from the temporal domain to a frequency domain. Furthermore, such a model may be utilized to detect or predict the occurrence of critical heat flux in a cooling system by extracting features from image data and acoustic data obtained from sensors remotely located from the cooling system and then concatenating such features.