Method for diagnosing failure of rotary machine by fusing oil and vibration

Abstract

The invention discloses a method for diagnosing a failure of a rotary machine by fusing oil and vibration. The method comprises the following steps of: establishing a vibration characteristic database and a ferrographic characteristic database of the rotary machine respectively; fusing the vibration characteristic database and the ferrographic characteristic database to form a failure database; reducing and fusing the failure database to form a rule base consisting of a plurality of rules; performing rule matching to obtain a decision pre-making information; performing decision remaking for failure prediction by matching the failure database according to the decision pre-making information to obtain re-prediction information; and outputting the re-prediction information. The vibration characteristic database obtained by vibration analysis and the ferrographic characteristic database obtained by oil analysis are comprehensively used for failure diagnosis, so that failure diagnosis accuracy is improved; and in addition, a failure decision is pre-made by failure matching, and the decision pre-making information is matched with the failure database to obtain re-predicted failure diagnosis information, so that the failure diagnosis accuracy is further improved.

Description

technical field [0001] The invention relates to the field of fault diagnosis of rotating machines, in particular to a method for diagnosing faults of rotating machines combining oil and vibration. [0002] Background technique [0003] CNC machine tools generally work under heavy load or high speed, and their rotating parts and transmission systems are prone to failure. The main forms of wear failure are abrasive wear, corrosion wear and fatigue wear, and this type of failure is very harmful. The initial failure will make the machine tool work unstable and reduce the machining accuracy. If it is not dealt with in time, it will cause the entire machine tool to fail to work. [0004] Therefore, it is very important to predict and diagnose the wear of the rotating parts of the machine tool and the transmission system. On the one hand, the vibration signal of the machine tool carries a large amount of information reflecting the wear status of the parts. On the other hand, the ...

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Problems solved by technology

However, the diagnostic results given by a single method are not reliable in many cases

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