Investigation of Fan Fault Problems Using Vibration and Noise Analysis

نویسنده

  • Selçuk ERKAYA
چکیده

Cooling fans are used to solve the thermal problems of most critical electronic parts in systems. Therefore, it is very important to monitor the fans condition periodically dealing with the detection, location and analysis of the possible faults. The fault diagnosis of rotating systems is increasingly paying attention. The main purpose of this study is to investigate the possible faults in a rotating system using vibration and noise measurements. A simple cooling fan is used for implementing the experimental measurement. Some artificial faults are performed for measuring the system responses. The empirical results show that Acoustic Emission (AE) technique is very useful to detect the faults at the system. Keywords— Fault detection, vibration and noise measurement, cooling fan, condition monitoring.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Analysis of motor fan radiated sound and vibration waveform by automatic pattern recognition technique using “Mahalanobis distance”

In recent years, as the weight of IT equipment has been reduced, the demand for motor fans for cooling the interior of electronic equipment is on the rise. Sensory test technique by inspectors is the mainstream for quality inspection of motor fans in the field. This sensory test requires a lot of experience to accurately diagnose differences in subtle sounds (sound pressures) of the fans, and t...

متن کامل

A Fault Diagnosis Method for Automaton based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...

متن کامل

A Fault Diagnosis Method for Automaton Based on Morphological Component Analysis and Ensemble Empirical Mode Decomposition

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...

متن کامل

Noise Effects on Modal Parameters Extraction of Horizontal Tailplane by Singular Value Decomposition Method Based on Output Only Modal Analysis

According to the great importance of safety in aerospace industries, identification of dynamic parameters of related equipment by experimental tests in operating conditions has been in focus. Due to the existence of noise sources in these conditions the probability of fault occurrence may increases. This study investigates the effects of noise in the process of modal parameters identification b...

متن کامل

Investigation of job stress among urban bus drivers with respect to daily noise and vibration exposures

Background and Objectives: Bus drivers are exposed to harmful agents such as noise and vibration which may led to increasing the level of job stress among them. The aim of this study was to evaluation of job stress among urban bus drivers with respect to daily noise and vibration exposures. Methods: This cross-sectional study carried out with participation of 103 urban bus drivers in Hamadan, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015