Oxidation wear monitoring based on the color extraction of on-line wear debris

Peng, Yeping; Wu, Tonghai; Wang, Shuo; Peng, Zhongxiao

doi:10.1016/j.wear.2014.12.047

Cited by 38 publications

(22 citation statements)

References 22 publications

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“…Wear debris detection is key to the oil particulate analysis. A variety of methods for on-line wear debris detection, such as capacitive detection [6,7], acoustic detection [8,9], color extraction method [10,11] and inductive sensor, have been developed and they were reviewed in a recent article [12]. Among these methods, the inductive sensor shows great advantages such as simple structure, low cost, ability to differentiate ferrous and nonferrous debris and so on [13,14,15,16,17,18].…”

Section: Introductionmentioning

confidence: 99%

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

et al. 2019

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The inductive detection of wear debris in lubrication oil is an effective method to monitor the machine status. As the wear debris is usually micro scale, a micro inductive sensor is always used to detect them in research papers or high-tech products. However, the improvement of detection sensitivity for micro inductive sensors is still a great challenge, especially for early wear debris of 20 μm or smaller diameter. This paper proposes a novel method to improve the detection sensitivity of a micro inductive sensor. Regarding the magnetic powder surrounding the sensor, the magnetic field in the core of the sensor where the wear debris pass through would be enhanced due to the increased relative permeability. Thus, the inductive signal would be improved and the detection sensitivity would be increased. It is found that the inductive signal would linearly increase with increasing the concentration of the magnetic powder and this enhancement would also be effective for wear debris of different sizes. In addition, the detection limit of the micro inductive sensor used in our experiment could be extended to 11 μm wear debris by the proposed method.

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Section: Introductionmentioning

confidence: 99%

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

et al. 2019

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“…Iwai et al [7] developed an image-based wear debris dynamic counter, estimated the debris thickness by adjusting the imaging focal length to estimate the total wear amount, and verified the effectiveness on a friction and wear tester. Based on a similar method, Wu et al [8,9,10,11] proposed a method of wear debris monitoring that realized a three-dimensional reconstruction of dynamic debris under low-information conditions, developed a classification algorithm for wear debris, and applied it to monitoring oxidative wear. Mabe et al [12] designed a lensless debris online imaging device that integrates a microfluidic structure and an embedded image processor with an identification accuracy of 1 μm.…”

Section: Introductionmentioning

confidence: 99%

A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography

Feng

Qiu

Luo

et al. 2019

Sensors

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Wear debris in lube oil was observed using a direct reflection online visual ferrograph (OLVF) to monitor the machine running condition and judge wear failure online. The existing research has mainly concentrated on extraction of wear debris concentration and size according to ferrograms under transmitted light. Reports on the segmentation algorithm of the wear debris ferrograms under reflected light are lacking. In this paper, a wear debris segmentation algorithm based on edge detection and contour classification is proposed. The optimal segmentation threshold is obtained by an adaptive canny algorithm, and the contour classification filling method is applied to overcome the problems of excessive brightness or darkness of some wear debris that is often neglected by traditional segmentation algorithms such as the Otsu and Kittler algorithms.

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“…So, the research on the wear debris detection is popular in the on-line monitoring technique. There are various methods to detect wear debris, such as ultrasonic detection [7], capacitance detection [8], color extraction detection [9], and inductive detection [10]. By contrast, inductive detection is highly used for on-line detection due to its outstanding advantages such as simple structure, low cost, simple operation, and ability to differentiate ferrous and nonferrous metal debris [11,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

The Effects of Position on the Wear Debris Detection with Planar Inductor

Yin

Liu

Zheng

et al. 2019

Sensors

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Wear debris detection is an effective method to determine the running state of the machine. Recently, the planar inductor is commonly used to detect wear debris. The previous studies have found that the inductive signal would be varied while changing the position of wear debris pass through. However, the effect of position on the wear debris detection is not well understood. In this paper, a novel detection system in which the position of wear debris pass through could be adjusted precisely is designed. By changing the position in horizontal or vertical direction, the inductive signals of the wear debris were acquired. In the horizontal direction, the experimental results show that the amplitude of the inductive signal first increases and then decreases when the position changes from the center of the planar inductor to the outer. The maximum inductive signal appears when the wear debris pass through the edge of the inner coil, which is 20% higher than that for the center and much higher than that for the edge of outer coil. In the vertical direction, the signal decreases almost linearly when the position is away from the planar inductor. For every 0.1 mm step far away the planar inductor, the signal amplitude drops by approximately 10%. The variation trend of our experimental results is consistent with the numerical simulation results of magnetic intensity around the planar inductor.

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Oxidation wear monitoring based on the color extraction of on-line wear debris

Cited by 38 publications

References 22 publications

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

Improving Sensitivity of a Micro Inductive Sensor for Wear Debris Detection with Magnetic Powder Surrounded

A Wear Debris Segmentation Method for Direct Reflection Online Visual Ferrography

The Effects of Position on the Wear Debris Detection with Planar Inductor

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