Diagnostic Agent using Parasitic Discrete Wavelet Transform for the Hybrid Diagnostic Agent System for the Fast-breeder Reactor “Monju”
Diagnostic Agent using Parasitic Discrete Wavelet Transform for the Hybrid Diagnostic Agent System for the Fast-breeder Reactor “Monju”
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发表时间：
2014
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通讯作者：
A. Gofuku
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作者：
A. Gofuku
为了在早期阶段检测泵等旋转机械中的异常，我们开发了一种使用小波变换的系统。泵诊断实验装置是根据快中子增殖反应堆“文殊”水-蒸汽系统用泵的结构设计的。为了提高检测能力，期望使用其形状类似于需要检测的异常信号的母小波（MW）。我们将基于真实的信号构造的小波称为真实的母小波（RMW）。寄生离散小波变换（P-DWT）具有小波设计灵活性大、处理速度快等优点，被应用于过程信号的检测。当发生三种类型的异常（物体的喷射、叶轮的平衡的改变和叶轮的轴线的损坏）时，使用泵诊断实验设备测量振动和声音信号。基于测量信号构造复RMW，随后构造寄生滤波器。利用寄生滤波器计算快速小波瞬时相关函数进行信号检测。我们评估了三种类型的异常，并发现P-DWT是有用的检测这些异常。此外，我们开发了一个使用P-DWT的诊断代理，作为我们的混合诊断代理系统的诊断代理之一，旨在与“Monju”分布式诊断代理系统协同工作。通讯作者，电子邮件：nagamatu@kobe-u.ac.jp现地址：日本东京都中央区日本桥本谷町1-2-2三菱化学工程株式会社，邮编：103-0021
In order to detect anomalies in rotating machines such as pumps at an early stage, we developed a system using wavelet transform. The pump diagnostic experiment equipment was designed taking into consideration the structure of the pump used for the water-steam system of the fast breeder reactor “Monju”. For improving detection capability, it is desirable to use a mother wavelet (MW) whose shape is similar to the anomaly signal that is required to be detected. We call the constructed MW on the basis of the real signal the real mother wavelet (RMW). The parasitic discrete wavelet transform (P-DWT) that has a large flexibility in design of the MW and a high processing speed was applied for detecting process signals. The vibration and sound signals were measured using the pump diagnostic experiment equipment when three types of anomalies (injection of an object, change of a balance of the impeller, and damage to the axis of the impeller) occur. Complex RMWs were constructed on the basis of the measured signals, and subsequently, parasitic filters were constructed. Signal detection was performed by calculating the fast wavelet instantaneous correlation using the parasitic filter. We evaluated three types of anomalies, and found that P-DWT is useful for detecting these anomalies. Furthermore, we developed a diagnostic agent using P-DWT as one of the diagnostic agents of our hybrid diagnostic agent system, which is intended to work together with the “Monju” distributed diagnostic agent system. Corresponding author, E-mail: nagamatu@kobe-u.ac.jp Present address: Mitsubishi Chemical Engineering Corporation, 1-2-2, Nihonbashi-Hongokucho, Chuo-ku, Tokyo 103-0021, Japan