Enhancing the Quality of Failed Planetary Gear Regions Using Intensity Transformation

Abstract

Component failure analysis is a challenging task in any industry, in particular; gears are complicated parts and are failed frequently. This is one of the important tasks analyzed to improve the reliability and life of the gear component. As per the failure analysis procedure, for evidence purpose, gears are carried out visual examination, photo documentation, and metallographic examination. With help of a still camera, the failure zone of gear is studied that is cut for further investigation like optical and scanning electron microscope. Unfortunately, the still images are not clear and identification of gear component are challenging issues. So, image processing techniques are employed to enhance the quality of image for its further analysis. The input image is subjected to sharpening which helps in obtaining the high-frequency component in the image. After sharpening the image, the intensity is distributed over the span of 0–255 pixels. The gamma correction is performed on the sharpened image before contrast adjustment. The intermediate intensity values of the histogram are selected for enhancing the quality of the images. The results prove that the Proposed techniques is identified the failed regions of planetary gear box.