Instrument fault detection method in offshore oil module

The invention discloses an instrument fault detection method in an offshore oil module. According to the method, the collected data is preprocessed and analyzed, the interference of noise signals is eliminated, the data can be better analyzed and processed, the stored data is intelligently analyzed and diagnosed by adopting a neural network model, the reason of instrument faults can be found out more simply and conveniently, the instrument maintenance efficiency is improved and the time is saved. According to the method, the position of the instrument with the fault can be detected and an alarm prompt can be given under the condition that the additional auxiliary detection device is not needed and the whole line does not need to be tested so that the detection speed and accuracy of the instrument fault are improved and the instrument with the fault can be maintained and replaced in time. 本发明公开了一种海洋石油模块中的仪表故障检测方法，该方法通过对采集的数据进行预处理分析，排除了噪声信号的干扰，便于更好地分析处理数据，采用神经网络模型对储存的数据进行智能分析和诊断，能够更简单方便的找出仪表故障的原因，提高了仪表维修的效率，节省了