Fault Identify of Bearing Using Enhanced Hilbert-Huang Transform
Ali Shakibazadeh and Abdolreza Rahmanifar National Iranian Oil Company, Maintenance Dept. of M.I.S Oil & Gas Company ABSTRACT Today the maintenance and repair based on condition monitoring techniques of rotating equipment is one of the most important tools to prevent stopping of production and reduce the cost of maintenance and repair and the vibration analysis according to the width of identifiable defects scope has a specific importance. In this paper, we discuss about rolling bearings defects detection with using of normalized Hilbert huang approach. KEYWORDS Hilbert huang transform, fault detection, rolling bearing Original Source URL: http://wireilla.com/engg/ijmech/papers/6417ijmech01.pdf For more details...