The safety performance of industrial ceiling fan is the first consideration of all customers, and the safety of hvls fan is mainly caused by the blade. The blade safety of industrial ceiling fan is mainly caused by material, structure and installation. Under the premise that there is no problem in material, structure and installation, how to ensure that the ceiling fan will not break down due to fatigue and environment in long-term operation? This requires monitoring of the blades in action.
Due to the long-term operation of large industrial ceiling fan blade in the workshop environment, under a variety of complex forces, easy to occur a variety of security risks, threatening the safety of the whole machine. However, in the hot summer, it is not guaranteed that all manufacturers can timely repair and test the ceiling fans of customers, which requires online monitoring system. Using the microphone placed at the bottom of the blade chassis to collect the sound signal of the blade operation, and then combining with the data processing method to extract the characteristics of the blade fault, it has the advantages of high detection efficiency, non-contact and easy installation and maintenance, which can provide a new technical approach for the detection of the blade fault.
For the blade fault monitoring system of industrial ceiling fan, the complex environmental background noise is firstly removed and the signal-to-noise ratio is improved. Blade operation work in a factory environment, sound detection signal is often influenced by random load, the influence of the machine, noise and other background noise, and considering the blade early failure energy is relatively weak, easy to hide in the background noise, so before feature extraction for acquisition of acoustic signal preprocessing, in order to improve the signal-to-noise ratio. Considering that the high frequency components of the signal decay quickly and the microphone is placed far away from the blade, the energy of the high frequency components of the signal collected by the actual sensor is extremely weak, which is not conducive to fault judgment and can filter out the high frequency components in the signal. Then, the acoustic fault characteristics of the blade are extracted.When the healthy blade is in normal working condition, the acoustic signal collected by the microphone is mainly the swept wind of the impeller. However, with the increase of the service time of the fan blade, some abnormal sound may occur periodically.
Therefore, compared with the normal working state, the frequency spectrum of the sound signal of the failed blade will definitely change periodically. Therefore, the fault diagnosis of the blade can be realized only by extracting the spectral characteristics that can reflect the information of the blade health status.
Of course, safety of industry big ceiling fan basically still needs to rely on product quality itself, cannot too come late subsidize means. GX FAN, using 6 propeller shape, import American Airlines high performance aluminum alloy material:AA6063T6511. Long-life warranty; Shape design developed by Profili V2 airfoil simulation analysis software to ensure the maximum comfort of the fan effect. Effectively dissolve air resistance, reduce fatigue of blade, ensure 100% safety of blade.