Technical training and the isolation and diagnosis of jet engine malfunctions has traditionally been accomplished using operational engine hardware, which has limited malfunction training. Simulated aircraft maintenance training (SAMT) devices are being Increasingly employed by the military to achieve more efficient and controlled instruction in maintenance procedures. The F-16 engine diagnostic SAMT is comprised of simulated aircraft cockpit and test equipment control panels, an instructor station, and a computer simulation of the Pratt & Whitney F-100 engine. The math model, which consists of a data base of engine variables, with transients provided by simple algorithms, was found to provide completely realistic engine performance for maintenance training. Through the model, students can practice trimming procedures, and diagnosis of a variety of engine component failures. Valuable lessons were learned in regards to sources of data for data base and algorithm development, data base fidelity, and approaches to malfunction model development.