Fault Detection by Means of UL Passive Threat on Bearings
نویسندگان
چکیده
منابع مشابه
Bearings Fault Detection Using Inference Tools
Electric motors are nowadays widely used in all kind of industrial applications due to their robustness and ease of control through inverters. Therefore, any effort, with the aim of improving condition monitoring techniques applied to them, will result in a reduction of overall production costs by means of productive lines stoppage reduction, and increment of the industrial efficiency. In this ...
متن کاملFault Detection of Bearings Using a Rule-based Classifier Ensemble and Genetic Algorithm
This paper proposes a reduct construction method based on discernibility matrix simplification. The method works with genetic algorithm. To identify potential problems and prevent complete failure of bearings, a new method based on rule-based classifier ensemble is presented. Genetic algorithm is used for feature reduction. The generated rules of the reducts are used to build the candidate base...
متن کاملextremal region detection guided by maxima of gradient magnitude
a problem of computer vision applications is to detect regions of interest under dif- ferent imaging conditions. the state-of-the-art maximally stable extremal regions (mser) detects affine covariant regions by applying all possible thresholds on the input image, and through three main steps including: 1) making a component tree of extremal regions’ evolution (enumeration), 2) obtaining region ...
Computational Effective Fault Detection by Means of Signature Functions
The paper presents a computationally effective method for fault detection. A system's responses are measured under healthy and ill conditions. These signals are used to calculate so-called signature functions that create a signal space. The current system's response is projected into this space. The signal location in this space easily allows to determine the fault. No classifier such as a neur...
متن کاملFault Detection in Ball-bearings Using Wavelet Variance
This paper introduces a wavelet based, nonparametric statistical method for the detection of characteristic signals embedded in noise-polluted vibrational response signals. A case study is described in which this technique is applied to the task of identi~ying localised defects on the raceways of the roller bearings inside an automotive gearbox, assuming that during operation a transient impuls...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Innovative Science and Research Technology
سال: 2020
ISSN: 2456-2165
DOI: 10.38124/ijisrt20aug374