The fault monitoring and diagnosis of medical centrifuges is to collect the signals of vibration, balance, temperature and pressure of some sensitive parts of the equipment, and to identify the working state of the medical centrifuge by means of signal processing and extracting characteristic parameters. The basic principle is that during the operation of a medical centrifuge, its components will emit signals of their respective characteristics, which vary with the damage, wear and the voltage, current, temperature, etc. of the individual components. According to the characteristic parameters that characterize the specific faults, the artificial neural network monitoring and diagnosis system is used to diagnose and predict the medical centrifuge faults.

The fault monitoring and diagnosis of medical centrifuges includes two processes of monitoring and diagnosis. Each of these processes includes two parts: preprocessing and feature signal extraction. Quickly and efficiently extracting features that reflect equipment failure information is the key to fault diagnosis. The data obtained from the diagnosed object is treated as a set of time series. By segmenting the time series, the input data is mapped into points in the sample space, including data such as the type, extent and location of the fault. First, the input data mapped to the sample space is preprocessed, and another type of failure mode is obtained by deleting the useless information in the original data, and the sample space is mapped into the data space. On the basis of the data space, the invariant characteristics in the data are extracted to form a constant fault mode space. After extracting the invariant characteristics of the fault mode, according to the needs of the diagnosis and the characteristics of the problem, the selected mode feature vector is quantized and compressed, and useful features are selected for fault diagnosis.

The excitation sources of the vibration of the medical centrifuge system mainly include: motor drive system, machining error of the basket and the shaft, bearings and brackets, unbalanced assembly, water in the cavity formed by cracks in the test tube, and excessive temperature rise. The rotating shaft is seriously tilted and vibrated during high-speed rotation. When the vibration frequency exceeds the limit value, it will cause resonance of the entire system of the centrifuge, resulting in serious consequences.

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