Deterioration alarm method of support and hanger based on k-means clustering of fundamental frequency data

Abstract

The invention discloses a support and hanger deterioration alarm method based on K-Means clustering of fundamental frequency data. The Lie transform method is used to analyze the frequency spectrum of N groups of vibration signals of the support and hanger; according to the spectrum analysis results, the maximum peak value of each group of signal spectrum or spectrum envelope in the empirical domain is extracted by the peak method identification method as the fundamental frequency of the support and hanger Observation points, all the fundamental frequency observation points used as supports and hangers form the fundamental frequency observation point sequence; the K-Means clustering method is used to perform data clustering analysis on the fundamental frequency observation sequence, and the cluster closest to the sequence mean is taken as the fundamental frequency true value data cluster, and the centroid position of the data cluster is used as the state index of the current performance of the support and hanger; when the calculated index obtained by the real-time test value in the later stage deviates from the distance D of the intact state index value of the support and hanger for M times, it means that the support and hanger Deterioration requires servicing.

Description

technical field [0001] The present invention relates to the field of performance monitoring, detection, early warning and evaluation of existing building structures and their auxiliary facilities, in particular, a kind of K-Means clustering result based on the fundamental frequency data identified by the vibration test to monitor the performance degradation of the support and hanger during the operation period, The method of inspection and warning, that is, the method of warning the deterioration of supports and hangers based on K-Means clustering of fundamental frequency data. Background technique [0002] Supports and hangers are one of the important load-bearing components of building structures and their ancillary facilities such as electromechanical and pipelines. During the long-term operation of the building, the supports and hangers often suffer from loose bolts, severe corrosion and local damage. These diseases will not only cause the hanger itself to withdraw from...

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Problems solved by technology

The commonly used methods are as follows: (1) The deterioration of the hanger is found based on the results of manual inspection: this method is to use the building management and inspection personnel to approach the hanger, manually check the appearance of the hanger, and further determine the quality of the hanger. Whether there are diseases such as bolt looseness, severe corrosion and local damage, this method relies on the experience and subjective judgment of the inspectors. It is an uneconomical and unsafe method for personnel to approach vulnerable locations, which is not only time-consuming and laborious, but may also be dangerous; (2 ) The deterioration of the hanger is found based on the natural frequency change of the vibration test data of the hanger: the acceleration sensor test signal installed on the hanger is used to identify the natural frequency of the hanger, and when the natural frequency drops to a certain level, the The support and hanger has some kind of disease and leads to performance degradation. However, this method does not consider the error information caused by some abnormal conditions (such as noise interference, improper excitation mode, sensor abnormality, etc.) during the test process, so it is difficult to guarantee the effectiveness of the method. , resulting in a large number of false positives

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