Abstract
The lifetime of wire rope is crucial in industry manufacturing, mining, and so on. The damage can be detected by using appropriate nondestructive testing techniques or destructive tests by cutting the part. For broken wires classification problems, this work is aimed at improving the recognition accuracy. Facing the defects at the exterior of the rope, a novel method for recognition of broken wires is firstly developed based on magnetic and infrared information fusion. A denoising method, which is adopted for magnetic signal, is proposed for eliminating baseline signal and wave strand. An image segmentation method is employed for parting the defects of infrared images. Characteristic vectors are extracted from magnetic images and infrared images, then kernel extreme learning machine network is applied to implement recognition of broken wires. Experimental results show that the denoising method and image segmentation are effective and the information fusion can improve the classification accuracy, which can provide useful information for estimating the residual lifetime of wire rope.
Highlights
Wire ropes play an important role in many fields such as cranes, oil drilling rigs, elevators, and mine hoist
X-ray apparatus has radioactive contamination; acoustic method detects wire rope by striking, which is simple but one-sided; CCD camera optical testing method can directly show the real defects through imaging, but it is susceptible to oil pollution; because of high sensitivity, high speed, and low cost, electromagnetic nondestructive testing (NDT) method is widely used [11,12,13,14]
kernel extreme learning machine (KELM) has advantages of high running speed and good generalization, we adopted it to implement the recognition of 6 classes of broken wires
Summary
Wire ropes play an important role in many fields such as cranes, oil drilling rigs, elevators, and mine hoist. The NDT methods of wire rope include electromagnetic [3, 4], X-ray [5], acoustic [6,7,8,9], and optical [10] method [1]. X-ray apparatus has radioactive contamination; acoustic method detects wire rope by striking, which is simple but one-sided; CCD camera optical testing method can directly show the real defects through imaging, but it is susceptible to oil pollution; because of high sensitivity, high speed, and low cost, electromagnetic NDT method is widely used [11,12,13,14]. Munoz et al [22, 23] determined heat source dissipation from infrared thermographic measurements based on the heat diffusion equation provided by thermodynamics principles and identified damage evolution in carbon fibre reinforced composites combing acoustic emission and infrared thermography
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
