Study on the signatures for a magazine

In this paper, diagnostic algorithms are developed to be utilized to monitor the condition of and to diagnose defects in the magazine of a fuelling machine installed in CANDU plants. The magazine plays a role in storing fuels, plugs and tools. Since the magazine operates in the high radiation area, it is impossible to give direct access to it for measuring the signals. Therefore, inlet and outlet pressures of a hydraulic motor, which can be acquired remotely, were selected as the measuring variables. The measured signals are further processed to extract the diagnostic signatures. They were examined and validated in the various experiments with the magazine mock-up