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@article{osti_931341, title = {A Wavelet-Based Methodology for Grinding Wheel Condition Monitoring}, author = {Liao, T. W. and Ting, C. F. and Qu, Jun and Blau, Peter Julian}, abstractNote = {Grinding wheel surface condition changes as more material is removed. This paper presents a wavelet-based methodology for grinding wheel condition monitoring based on acoustic emission .
condition monitoring methods for grinding machines journal papers pdf coal prep plants for sale International Journal of Condition Monitoring IJCM is a scientific-technical journal containing high-quality innovative in-depth peer-reviewed papers on all the condition monitoring disciplines, including: Acoustic emission methods Electric motor ...
This paper deals with an in-process measurement method for topography change of a grinding wheel, which can apply to wet grinding. A pressure sensor is set beside a grinding .
The book presents a wide and comprehensive review of the key areas of research in machine condition monitoring and control, before focusing on an in-depth treatment of each important technique, from multi-domain signal processing for defect diagnosis to web-based information delivery for .
91. VIBRATION BASED CONDITION ASSESSMENT OF BALL BEARING WITH DISTRIBUTED DEFECTS. SHAM KULKARNI, ANAND BEWOOR 88 JOURNAL OF MEASUREMENTS IN ENGINEERING.JUNE 2016, VOLUME 4, ISSUE 2 detection of these defects is necessary for preventing damage of other of parts of the machine. Various condition monitoring .
Jan 01, 2010· The surface quality of the component produced mainly depends on the condition of the grinding wheel. In this paper, the working surface condition of the grinding wheel is assessed by the texture analysis methods. The grinding wheel images are captured at different time intervals using a CCD camera. Then, the captured images are pre-processed using histogram equalisation to reduce .
Grinding machine condition monitoring is very important during the manufacturing process. Vibration analysis is usually used to its pattern recognition. But traditional signal analysis method limits the accuracy of recognition because of non-stationary and nonlinear characteristics. In this paper, a novel approach is presented in detail for grinding machine fault diagnosis.
Jan 01, 2010· The surface quality of the component produced mainly depends on the condition of the grinding wheel. In this paper, the working surface condition of the grinding wheel is assessed by the texture analysis methods. The grinding wheel images are captured at different time intervals using a CCD camera. Then, the captured images are pre-processed using .
Vibration-based condition monitoring (VCM) is a well-known and well-accepted method for the health monitoring of rotating machines in industries. However the conventional VCM possesses some limitations in terms of using a number of vibration sensors at each bearing pedestal and sufficient experience to interpret the measured vibration data to ...
To maintain the quality of the component, the condition of the grinding wheel should be monitored and the periodical dressing has to be done to retain the shape and the sharpness of the cutting edges. In the present paper, the machine-vision-based texture analysis methods are introduced to discriminate the surface condition of the grinding wheel.
Condition Monitoring based Control using Wavelets and Machine Learning for Unmanned Surface Vehicles Abstract: This paper proposes the idea of fault detection and diagnosis for stable operation of unmanned surface vehicles (USVs). The idea of fault classification is achieved with the help of wavelet transforms and support vector machines, and ...
The use of statistical methods for anomaly detection has become of interest to researchers in many subject areas. Structural health monitoring in particular has benefited from the versatility of statistical damage-detection techniques. We propose modeling structural vibration sensor output data using nonlinear time-series models.
Assessing the grinding wheel surface condition during dressing is very important in order to decide about the number of dressing passes required to retain the cutting ability of the grinding wheel and also to reduce the wastage of the grinding wheel material. The dressing process removes the loaded particles and brings out the new grains in order to retain the cutting ability of the grinding ...
This paper deals with the development of an online monitoring system based on feature-level sensor fusion and its application to OD plunge grinding. Different sensors are used to measure acoustic emission, spindle power, and workpiece vibration signals, which are used to monitor three of the most common faults in grinding—workpiece burn ...
Increasing interest has been seen in condition monitoring (CM) techniques for electrical equipment, mainly including transformer, generator, and induction motor in power plants, because CM has the potential to reduce operating costs, enhance the reliability of operation, and improve power supply and service to customers. Literature is accumulated on developing intelligent CM systems with ...
As grinding progresses, the metal particles get clogged into the spaces between the abrasive cutting edges of the grinding wheel. This changes the reflectivity of the grinding wheel surface. This change can be captured by using a lux meter. The paper demonstrates the usage of simple lux meter for condition monitoring of grinding wheels.
A waveletbased methodology for grinding wheel condition Mar 01, 2007· Read "A waveletbased methodology for grinding wheel condition monitoring, International Journal of Machine Tools and Manufacture" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
Condition monitoring on grinding wheel wear using wavelet analysis and decision tree C4.5 algorithm S.Devendiran 1, K.Manivannan 2 1, 2 School of mechanical and building sciences, VIT University, Vellore, India. 1 [email protected] 2 [email protected] Abstract -A new online grinding wheel wear monitoring approach to detect a worn out wheel, based on
Currently, surface defect detection of stamping grinding flat parts is mainly undertaken through observation by the naked eye. In order to improve the automatic degree of surface defects detection in stamping grinding flat parts, a real-time detection system based on machine vision is designed. Under plane illumination mode, the whole region of the parts is clear and the outline is obvious ...
Feb 05, 2007· In this paper, an analytical redundancy method using neural network modeling of the induction motor in vibration spectra is proposed for machine fault detection and diagnosis. The short-time Fourier transform is used to process the quasi-steady vibration signals to continuous spectra for the neural network model training.
91. VIBRATION BASED CONDITION ASSESSMENT OF BALL BEARING WITH DISTRIBUTED DEFECTS. SHAM KULKARNI, ANAND BEWOOR 88 JOURNAL OF MEASUREMENTS IN ENGINEERING.JUNE 2016, VOLUME 4, ISSUE 2 detection of these defects is necessary for preventing damage of other of parts of the machine. Various condition monitoring techniques have been .
Machines (ISSN 2075-1702; CODEN: MACHCV) is an international peer-reviewed open access journal on machinery and engineering published quarterly online by MDPI. The IFToMM are affiliated with Machines and its members receive a discount on the article processing charges.. Open Access —free for readers, with article processing charges () paid by authors or their institutions.
This paper aims to accomplish online monitoring of precision optics grinding with processing condition factors based on theoretical analysis and through grinding experiments. The model for monitoring surface quality of optical elements online (OSQMM) which contains identification model (IM) and interpolation·factor-support vector regression (i•f-SVR) is proposed.
Condition monitoring is the process of determining the condition of machinery while in operation. The key to a successful condition monitoring programme includes: Knowing what to listen for; How to interpret it; When to put this knowledge to use; Successfully using this programme enables the repair of problem components prior to failure.
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