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Condition Monitoring Methods For Grinding Machines Journal Papers

From each tangential grinding force signal, 32 node energies are extracted by applying a wavelet packet decomposition method, and a total of 34 features including 32 node energies, depth of cut and feed rate are used to build the micro-grinding tool condition diagnosis model based on a back-propagation neural network approach...An on-line condition monitoring and monitoring point position visual system for grinding machine is developed for monitoring the grinding condition in a grinding operation. This system can set and observe the monitoring point position in computer, measure the vibration and temperature of the grinding machine to judge the operation state. The experiments indicate …

The main objective. of this project is to design and fabricate an abrasive belt grinding which can be used as. versatile grinding machine, the work area can be rotated from 0 degree to 180 degree ...International Journal of Electrical and Computer Engineering (IJECE) Vol. 11, No. 4, August 2021, pp. 2820~2829 ISSN: 2088-8708, DOI: 10.11591/ijece.v11i4.pp2820-2829 ...

Grinding force is analysed through a Short Time Fourier Transform (STFT) to identify features for condition monitoring. The Support Vector Machine (SVM) methodology is introduced as a powerful ...cooling lubricant reaches all points of the grinding wheel, are removed [85,120,160,163]. Vitrified bonded grinding wheels with aluminum oxide or silicon carbide grains can be simultaneously sharpened and profiled within one process called dressing [164]. For dressing of resin and metal bonded grinding wheels usually two separate

Acoustic emission (AE) phenomenon has a direct relationship with the interaction of tool and material which makes AE the most sensitive one among various process variables. However, its prominent sensitivity also means the characteristics of random and board band. Feature representation is a difficult problem for AE-based monitoring and determines the …...A novel sound-based grinding belt condition monitoring method using OP-ELM model has been developed and validated with experimental data. The following conclusions can be made. (1) There are three kinds of belt wear styles in superalloy grinding: abrasive fracture, rubbing wear and debris adhesion.

machine (SVM)[16] were used. In turn to make an important step towards the on-line condition monitoring in industrial scenario This paper presents a new method of evaluation on grinding wheel wear monitoring system based on discrete wavelet decomposition and data mining technology is introduced to wheel wear diagnosis...The following list of condition monitoring techniques, grouped by several category types, shows the extent technology has moved monitoring ahead. The various methods listed may or may not currently be linked within an IoT network, but most are suitable for automatic data collection and analysis. Advertisement. Oil Analysis/Tribology.

Acoustic emission (AE) phenomenon has a direct relationship with the interaction of tool and material which makes AE the most sensitive one among various process variables. However, its prominent sensitivity also means the characteristics of random and board band. Feature representation is a difficult problem for AE-based monitoring and determines the accuracy of …...Methods for determining the technical condition of journal bearings are divided into those used to test the bearings while they are still and those that are driven while the bearings are in operation, i.e. while they are under workloads. This paper presents a modern method of testing the condition of journal bearings in operation by means of

These techniques can be used as a standalone or combination of different techniques including: Oil analysis. Vibration analysis. Motor current analysis. Thermography. Ultrasonic monitoring. A variety of condition monitoring technologies help asset specialists understand asset health. Image courtesy of National Instruments Corp...Grinding chatter is a self-induced vibration which is unfavorable to precision machining processes. This paper proposes a forecasting method for grinding state identification based on bivarition empirical mode decomposition (BEMD) and least squares support vector machine (LSSVM), which allows the monitoring of grinding chatter over time. BEMD is a promising …

Bearing faults account for approximately half of all electric machine failures. Bearing condition monitoring is of practical importance. In this paper, up to seven different bearing condition monitoring methods in terms of the measuring medium are reviewed, with an emphasis on their implementation considerations. The major advantages and disadvantages of those …...Indirect methods to monitor the surface integrity of grinding wheels by acoustic emission (AE) have been proposed, aiming to ensure their optimal performance. However, the time-frequency analysis of the content of these signals has not been addressed in the literature. AE signal analysis performed only in the frequency domain makes it impossible to locate faults …

Journal o Ecological Engineering Vol. 19(1), 2018 84 include production halls with CNC machines [4–5, 8–13]. Evaluation of that kind of noise con - stitutes the basis for using different methods of noise reduction and personal hearing protection when operating CNC machines [18–19]. Accord-ing to data provided by the Central Statistical Of -...ble, it is essential to have knowledge of the machine condition and its rate of change with time. The main function of condition monitoring is to provide this knowledge. There are two main methods used for condition monitoring, and these are trend monitoring and condition checking. Trend monitoring is the continuous or regular measurement and in­

The concept of condition monitoring (CM) is an evolution of diagnostic and prognostic systems. The goal of CM of mining machinery is to examine its functional health. Real-time assessment of its functional health is useful for predicting fault in components/operation and thereby improving performance of equipment...This paper presented a new approach for monitoring the surface grinding process using the electromechanical impedance (EMI) method, which is simple and involves the use of low-cost PZT transducers. The quantification of the wear pattern during the grinding process was based on the RMSD and CCDM indices commonly used in the EMI method.

The paper outlines with some examples some condition monitoring techniques which have contributed to running some large machines for up to 17 years without opening high pressure sections. In machines with an HP-IP opposed-flow …...All the methods carried out in the grinding wheel condition monitoring are more suitable for use in laboratories since expensive sensors like the AE, force sensor are being used. The AE sensors are indispensable in the monitoring cases of low-speed applications because of its higher sensitivity and sampling frequency range than that of ...

Acoustic emission (AE) signals can provide tool condition that is critical to effective process control. However, how to process the data and extract useful information are challenging tasks. This paper presented an intelligent grinding wheel wear monitoring system which was embedded in a surface grinding machine. An AE sensor was used to collect the grinding signals...SVM trained with cubic kernel producing an AUC value of 1.0. This shows SVM can classify the grinding tool condition with greater accuracy using acoustic emission signals. 8. Conclusions Tool condition monitoring for grinding is a demanding area of research due to its large number of abrasive cutting edges and stochastic cutting geometry.

Condition monitoring methods, failure identification and analysis for Induction machines Neelam Mehala, Ratna Dahiya Abstract— Induction motors are a critical component of many industrial processes and are frequently integrated in commercially available equipment and industrial processes. The studies of...Tool condition monitoring and machine tool diagnostics are performed using advanced sensors and computational intelligence to predict and avoid adverse conditions for cutting tools and machinery. Undesirable conditions during machining cause chatter, tool wear, and tool breakage, directly affecting the tool life and consequently the surface quality, …

The high-end equipment represented by high-end machine tools and aero-engines is the core component of the national intelligent manufacturing plan, and the mass unbalance is the main reason for its excessive vibration, that seriously impacts the operation efficiency and running life of the equipment. In order to change the traditional way that the fault of equipment …...In the grinding process of friction stir weld seams, excessive grinding will cause damage to the base metal and bring significant economic losses. In this paper, the authors design a robotic system for grinding the weld seam and present a monitoring method of excessive grinding. The designed system consists of an industrial robot, a line scanner for measuring the weld seam …

This paper presents the process improvement using the DMAIC approach, as the DMAIC proved to be the most ... and the Seven Step method of Juran and Gryna for problem solving approaches. In the theory of organizational routines, ... Fig.1. Bone Structure of DDS face grinding machine (Drawn in CATIA-V5) Fig.2. (a) Deep Grove Ball earing, (b ...Many works on grinding wheel condition monitoring during surface grinding have been done by T. W. Liao [8] [9][10][11]. He used different features of the acoustic emission (AE) signal in …

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