Algorithm for fault prediction of power plant machines using peak codes

Fault detection systems for machines used in a power plant have been actively studied in universities and research institutes around the world. Previous research has led to the development of detection systems that use vibration, temperature, and pressure as its measurement gauges. We introduce a novel approach where sound is used for fault prediction by creating the sound peak code method. The sound peak code can be attached to a machine like a bar code, and it can immediately find the normal or abnormal operation of a power plant machine. This method requires the development of an algorithm that satisfies three requirements.