Method for judging looseness of tower bolt based on waveform acquisition of vibration speed sensor
A technology of vibration velocity and bolt looseness, which is applied in the field of tower bolt looseness judgment based on vibration velocity sensor waveform acquisition, can solve the problems of laborious and time-consuming tower bolt looseness, and achieve high accuracy and reliability.
Active Publication Date: 2019-10-01
HULUDAO POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER +1
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[0003] Aiming at the deficiencies of existing manual detection methods, the present invention provides a method for discriminating tower bolt looseness based on vibration velocity sensor waveform acquisition to effectively solve the problem of time-consuming and laborious manual detection of tower bolt looseness
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[0053] The invention provides a method for discriminating loose bolts of towers based on waveform acquisition of a vibration velocity sensor, comprising the following steps:
[0054] Step 1: Pre-collect multiple groups of bolt loosening vibration signals and bolt tightening vibration signals as a training set through the vibration velocity sensor, and the step 1 is specifically as follows;
[0055] Step 1.1: Adsorb the vibration speed sensor to the tower through the magnetic base, and connect the vibration speed sensor, AD7606 module, FPGA module, GPRS module in sequence, and configure the host computer remotely;
[0056] During specific implementation, build figure 1 The signal acquisition and transmission module shown specifically includes: vibration velocity sensor, AD7606 module, FPGA module, GPRS module and host computer. Adsorb the vibration speed sensor to the side of the tower about one meter away from the bottom through the magnetic base, put the AD7606 module, FPGA ...
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A method for judging looseness of a tower bolt based on waveform acquisition of a vibration speed sensor comprises the following steps of step 1: pre-collecting a plurality of sets of bolt loose vibration signals and bolt fastening vibration signals as a training set by the vibration speed sensor; step 2: removing a singular value from the vibration signals in the training set and performing RLS filtering; step 3: establishing a one-dimensional convolutional neural network model, and training the convolutional neural network model through the training set; and step 4: judging the looseness ofthe bolt through the trained neural network model. The method can effectively solve the problem that it is time-consuming and laborious to manually detect the looseness of the tower bolt.
Description
technical field [0001] The invention belongs to the technical field of fault diagnosis, and relates to a method for discriminating looseness of tower bolts based on vibration velocity sensor waveform acquisition. Background technique [0002] After the tower bolts are tightened, due to the influence of external environmental factors, the tower itself will vibrate naturally. When the lateral force exceeds the pre-tightening force and generates frictional resistance, the relative movement between the fastening threaded fittings will cause the fasteners to loose. However, loose tower bolts will bring high property damage and serious pedestrian safety problems. At present, the maintenance method for the loosening of tower bolts is mainly manual inspection. Workers hit the tower with a hammer. When the bolts are loose, they can hear obvious trailing vibrato, which is caused by the collision between the two connecting parts where the bolts are loose. This additional collision is...
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IPC IPC(8): G01M7/02G01M13/00G01H17/00G06K9/00G06K9/62
CPCG01M7/00G01M13/00G01H17/00G06F2218/02G06F2218/08G06F2218/12G06F18/241
Inventor 吴限才源罗艳红李翔宇傅帅杨东升施大鹏周博文李妍彭海英王根聂秋博
Owner HULUDAO POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER