MULTIPLE-STATE HEALTH MONITORING APPARATUS AND MONITORING METHOD FOR CRITICAL COMPONENTS IN HOISTING SYSTEM
First Claim
1. A multiple-state health monitoring apparatus for critical components in a hoisting system, the multiple-state health monitoring apparatus comprising a frame, wherein the frame is a square structure formed by welding a plurality of rectangular steels, a steel wire rope is arranged around a periphery of the square structure, a power system, a friction-and-wear apparatus, a brake-and-wear apparatus, and a tensioning apparatus are sequentially mounted from left to right on a bottom layer of the square structure, a bearing signal collection system, a tension sensor, an excitation apparatus, and a steel-wire-rope image collection system are sequentially mounted from left to right on a top layer of the square structure, the steel wire rope sequentially passes through the power system, the friction-and-wear apparatus, the brake-and-wear apparatus, and the tensioning apparatus, and is driven by the power system to perform circling, and the power system, the friction-and-wear apparatus, the brake-and-wear apparatus, and the tensioning apparatus are used to monitor an operation status of the steel wire rope.
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Accused Products
Abstract
A multiple-state health monitoring apparatus for critical components in a hoisting system includes a frame. The frame is a square structure formed by welding a plurality of rectangular steels. A steel wire rope is arranged around a periphery of the square structure. A power system, a friction-and-wear apparatus, a brake-and-wear apparatus, and a tensioning apparatus are sequentially mounted from left to right on a bottom layer of the square structure. A bearing signal collection system, a tension sensor, an excitation apparatus, and a steel-wire-rope image collection system are sequentially mounted from left to right on a top layer of the square structure. The steel wire rope sequentially passes through all the apparatuses or systems and is driven by the power system to perform circling. All the apparatuses or systems are used to monitor an operation status of the steel wire rope.
2 Citations
10 Claims
- 1. A multiple-state health monitoring apparatus for critical components in a hoisting system, the multiple-state health monitoring apparatus comprising a frame, wherein the frame is a square structure formed by welding a plurality of rectangular steels, a steel wire rope is arranged around a periphery of the square structure, a power system, a friction-and-wear apparatus, a brake-and-wear apparatus, and a tensioning apparatus are sequentially mounted from left to right on a bottom layer of the square structure, a bearing signal collection system, a tension sensor, an excitation apparatus, and a steel-wire-rope image collection system are sequentially mounted from left to right on a top layer of the square structure, the steel wire rope sequentially passes through the power system, the friction-and-wear apparatus, the brake-and-wear apparatus, and the tensioning apparatus, and is driven by the power system to perform circling, and the power system, the friction-and-wear apparatus, the brake-and-wear apparatus, and the tensioning apparatus are used to monitor an operation status of the steel wire rope.
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9. A method for monitoring a steel wire rope by using a multiple-state health monitoring apparatus for critical components in a hoisting system, the method comprising:
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first mounting a steel wire rope containing a corrosion fault; passing the steel wire rope containing the corrosion fault sequentially through a large pulley, a friction-and-wear apparatus, a brake-and-wear apparatus, a tensioning apparatus, a central position of an inner hexagonal body, an excitation apparatus, a tension sensor, and a head sheave to form a complete loop; turning on a motor for a first time to enable whole of the health monitoring apparatus to run at a slow and uniform speed and enable a corroded portion of the steel wire rope to run to a position that is not in contact with the friction-and-wear apparatus and the brake-and-wear apparatus; turning off the motor, turning on the friction-and-wear apparatus and the brake-and-wear apparatus, and creating a wear fault, a dent fault, and a broken wire fault respectively on the steel wire rope, wherein the wear fault, the dent fault, and the broken wire fault are separated at an equal interval; turning on the motor for a second time to enable whole of the monitoring apparatus to further run at a slow and uniform speed, and turning on a steel-wire-rope image collection system at this time, and using three industrial CCD cameras to extract image data information from a plurality of angles; the steel-wire-rope image collection system transmits collected images into a host computer, the images are preprocessed and then input into a CNN (Convolutional Neural Network) that has been trained in advance, and the host computer performs parallel computation on data to implement fast recognition and classification of a fault in an image; and a result is output eventually to obtain a type of the fault of the steel wire rope.
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10. A method for monitoring a bearing by using a multiple-state health monitoring apparatus for critical components in a hoisting system, the method comprising:
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first mounting a normal or faulty bearing on an outside bearing pedestal of a bearing signal collection system; passing a healthy steel wire rope sequentially through a large pulley, a friction-and-wear apparatus, a brake-and-wear apparatus, a tensioning apparatus, a central position of an inner hexagonal body, an excitation apparatus, a tension sensor, and a head sheave to form a complete loop, and adjusting a tensioning force of a tension cylinder simultaneously; turning on a motor to enable whole of the health monitoring apparatus to run at a uniform speed, and using a third thermal imager and an acceleration sensor together to extract noise and temperature data information; transmitting the collected noise and temperature data information into a host computer, preprocessing noise signals and then inputting into a RNN (Recurrent Neural Network) that has been trained in advance, wherein the host computer performs parallel computation on data to implement fast recognition and classification of a fault feature in a noise signal of the bearing; and a result is output eventually to obtain a type of the fault of the bearing.
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Specification