“…In this sense, several works have been carried out in the literature presenting the main challenges of the proposed diagnosis approaches in energy plants, (gas turbine, gas compressor, centrifugal chiller, turbomachinery…etc. ), such as fault detection and diagnostics tool based on a data fault library, application to an automated chiller [7], Effect of common faults on the performance of different types of vapor compression systems [8], A statistical fault detection and diagnosis method for centrifugal chillers based on exponentiallyweighted moving average control charts and support vector regression [9], the performance diagnosis of gas turbine compressors based on component map tuning method [10], diagnostics of gas turbine for a high bypass ratio military turbofan engine based on artificial neural-networks [11], Active surge control for variable speed axial compressors [12], and fault-diagnoses based on evolution strategy (a simple genetic-based algorithm and fuzzy approaches) for gas turbocompressor systems [13,14,15,16,17,18,19,20,21]. Based on these research works, it is obvious that the research on the gas turbine and gas compressor systems are actually a very highlighted research topic.…”