Lifting load monitoring of mine hoist through vibration signal analysis with variational mode decomposition

Fan Jiang,Zhencai Zhu,Shixiong Xia,Gongbo Zhou,Wei Li

doi:10.21595/jve.2017.18859

Abstract

Mine hoists play a crucial role in vertical-shaft transportation, and one of the main causes of their faults is abnormal lifting load. However, direct measurement of the load value is difficult. Further, the original structure must be destroyed for sensor installation. To facilitate efficient and accurate monitoring of the lifting load of mine hoist, this paper presents a novel condition-monitoring method based on variational mode decomposition (VMD) and support vector machine (SVM) through vibration signal analysis. First, traditional empirical mode decomposition (EMD) is used to analyze the vibration signal collected by an acceleration sensor, and the number of obtained intrinsic mode functions (IMFs) is employed to set the VMD mode number. Second, the obtained vibration signal is processed by the parameterized VMD, and the useful IMFs of VMD are selected through correlation analysis for feature extraction. Third, the obtained features are used to train an SVM model, and the trained SVM is used to monitor the mine-hoist lifting load. In this study, experiments on an operated mine hoist are also conducted to verify the reliability and validity of the proposed method. The experimental results show that the proposed method can accurately identify the considered lifting load conditions.

Highlights

In vertical-shaft transportation, mine hoist is a very important item of equipment, which is used to transport personnel, materials, equipment, and coal between the underground and surface areas
Based on the above analysis, this study presents a new condition monitoring method, based on empirical mode decomposition (EMD), variational mode decomposition (VMD) and support vector machine (SVM) with vibration signal analysis, to precisely monitor the lifting load of mine hoist
The vibration signals collected from a mine hoist under the stage of uniform motion were used to establish a correlation model between the features and lifting load conditions

Summary

Introduction

In vertical-shaft transportation, mine hoist is a very important item of equipment, which is used to transport personnel, materials, equipment, and coal between the underground and surface areas. Under operation involving frequent start-stopping, high speed, and heavy loads, the accidental occurrence of a malignant fault, such as skidding, overloading, or pot-sticking, may cause a fatal crash and affect the safety of the mine and its production efficiency. The common faults of mine hoist are related to its lifting load. The mine hoist system is employed in a semi-closed deep and narrow space, and the ropes and hoisting conveyance are large-span moving parts. It is difficult to directly measure the mine-hoist lifting load. Vibration signals can effectively provide health information on a large rotary machine, and many studies on vibration usage have been performed by researchers throughout the world [1,2,3,4]. Vibration signal analysis constitutes a new method of monitoring the lifting load of mine hoist

Methods

Results

Conclusion