نتایج جستجو برای: bearing fault detection
تعداد نتایج: 688679 فیلتر نتایج به سال:
ABSTACT: In the present scenario every industry need Condition Based Monitoring System to avoid unwanted faults in the process components. Vibration condition monitoring technique is widely used for fault detection. Vibration monitoring is the most reliable method of assessing the overall health of a motor system. In this paper we work on 2 Hp inductions motor. Ball bearing fault is widely occu...
The rotating machinery is a common class of machinery in the industry. The root cause of faults in the rotating machinery is often faulty rolling element bearings. This paper presents a novel technique using artificial neural network learning for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (harmmean and median), whic...
Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring. Vibration signals from a defective bearing with a localized fault contain a series of impulsive responses, which result from the impacts of the defective part(s) with other elements. Most researches carried out have focused on fault...
The present paper aims to demonstrate why usually when theoretical mathematical models are used to compute the frequencies corresponding to a faulty rolling bearing a deviation is obtained between the computed values and the real frequencies emitted by such a device. A laboratory rolling bearing test ring has been developed to perform the current studies. From the obtained results we highlight ...
Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of motor bearing faults based on induction motor stator current analysis. Tests were performed with three bearing conditions: baseline, outer rac...
The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. On the other hand, any fault in bearing can lead to losses on the level of production and equipments as well as creation an unsafe working environment for human. For these reasons, Condition monitoring and fault diagnosis of these bearings has ...
Ball bearings are among the most important and frequently encountered components in the vast majority of rotating machines, their carrying capacity and reliability being prominent for the overall machine performance. Fault detection and diagnosis in the early stages of damage is necessary to prevent their malfunctioning and failure during operation. This paper presents fault detection of ball b...
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