Detection of artefact and its automated correction is an active area of MRI research. The aim of this study is to evaluate MR system/sub-system degradation and detection of root cause for image quality degradation using Magnetic Resonance Fingerprinting (MRF). The method is demonstrated on Terranova, an earth’s field MR imager as part of the preliminary studies. The 3 major coils: polarizer, gradient and Audio Frequency (AF) coils were considered for degradation evaluation. A dictionary similar to MRF with 64 entries for different ranges of inputs was generated. It is shown that based on dictionary a decision can be made about the status of the system.