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
condition monitoring is an on-going attempt. The proposed method deals with monitoring the health condition of the carbide inserts using vibration analysis. The statistical information extracted from the vibration signals was analyzed using machine learning approach in order to predict the tool condition.
the capability of these new methods in condition monitoring of mechanical systems. ... Examples of this are the journal . 3 bearing of a shaft with a slow or very slow rotational velocity, a rotating oven, dryer cylinders, the press sections of a paper machine, etc.; b) To supervise the installations in which the normal functional process ...
Machining data have been increasingly crucial with the development of modern manufacturing strategies, and the explosive growth of data amount revolutionizes how to collect and analyze data. In machining process, anomalies such as machining chatter and tool wear occur frequently, which strongly affect the process by reducing accuracy and quality as well as increasing the time and cost.
The success of manufacturing process automation hinges primarily on the effectiveness of the process monitoring and control systems. This paper discusses the evolution of machining process monitoring and control technologies and conducts an in-depth review of the state-of-the-art of these technologies over the past decade.
A review of the fault diagnostic techniques based on machine is presented in this paper. As the world is moving towards industry 4.0 standards, the problems of limited computational power and available memory are decreasing day by day. A significant amount of data with a variety of faulty conditions of electrical machines working under different environments can be handled remotely using cloud ...
Reliability and safety are major issues in tower crane applications. A new adaptive neurofuzzy system is developed in this work for real-time health condition monitoring of tower cranes, especially for hoist gearboxes. Vibration signals are measured using a wireless smart sensor system. Fault detection is performed gear-by-gear in the gearbox.
This paper discusses the predictive maintenance (PM) problem of a single equipment system. It is assumed that the equipment has deteriorating quality states as it operates, resulting in multiple yield levels represented as system observation states. We cast the equipment deterioration as discrete-state and continuous-time semi-Markov decision process (SMDP) model and solve the …
This paper describes conventional and enhanced methods for the monitoring and control of machining processes with a limitation to cutting and grinding machine tools. The differences between the various methods and the corresponding equipment, software and strategies are considered as well as the reasons for the limited success of some of the existing systems in use.
An intelligent system for grinding wheel condition monitoring [J]. Journal of Materials Processing Technology, 2001, 109(3): 258–263. Article Google Scholar [10] Cai R, Rowe W B. Assessment of vitrified CBN wheels for precision grinding [J]. International Journal of Machine Tools and Manufacture, 2004, 44(12–13): 1391–1402.
The EMI method involves a simpler methodology and lower cost than the conventional methods used in the grinding process. Tests were performed on a SAE 1020 steel workpiece and initial results indicate that the EMI method can be an excellent alternative for monitoring the condition of the workpiece in the surface grinding process.
A wavelet-based methodology for grinding wheel condition monitoring, INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 47, 3-4, pp. 580-592, MAR 2007; Liao TW, Hua GG, Qu J, et al.: Grinding wheel condition monitoring with hidden Markov model-based clustering methods, MACHINING SCIENCE AND TECHNOLOGY 10 (4): 511-538 OCT-DEC …
The performance of the grinding wheel demonstrably affects the machining efficiency and the quality of the workpiece. Therefore, it is essential to evaluate the wear of the wheel and then operate the dressing or replacement in time. The wear procession of the wheel was monitored and evaluated systematically in this paper. A surface grinding experiment was performed by using an alumina …
To implement the tool condition monitoring system in a metal cutting process, it is necessary to have sensors which will be able to detect the tool conditions to initiate remedial action. There are different signals for monitoring the cutting process which may require different sensors and signal processing techniques. Each of these signals is capable of providing information about the …
Xiaoqiang Zhang, Huabin Chen, Jijin Xu, Xuefeng Song, Junwei Wang, Xiaoqi Chen, A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine, Journal of Materials Processing Technology, 10.1016/j.jmatprotec.2018.05.013, 260, (9-19), (2018).
Tool condition monitoring method in abrasive belt grinding process is presented. • It correlates the belt tool condition with process time and surface integrity. • A multi-sensor integration technique to acquire data from the process is used. • The time and frequency domain features are used to find the correlation. •
Therefore, time sequence of samples are valuable for wheel condition monitoring. This paper is dedicated to find a feasible method to realize accurate monitoring of grinding process. Utilizing the time sequence of AE samples, a LDA-based monitoring method is proposed to online monitoring the deterioration of diamond grinding wheel's state.
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 that the …
mon method for cylindrical roller bearings in machine tool spin-dles, but I never saw it used in the pulp and paper industry until SKF launched the SKF SensorMount method for large size bear-ings e.g. press roll bearings. This method uses a sensor integrated in the inner ring. It's very accurate and fast. a 90° M M1 G ON 0FF CLR MAX 0.540 ...
Vector Machine (SVM) and Genetic Algorithm (GA) based predictive classification model for in-process sensing of abrasive belt wear for robotized abrasive belt grinding process. With this tool condition monitoring predicting system, the effectiveness of the belt …
Acoustic Emission technique is a successful method in machinery condition monitoring and fault diagnosis due to its high sensitivity on locating micro cracks in high frequency domain. A recently developed method is by using artificial intelligence techniques as tools for routine maintenance. This paper presents a review of recent literature in the field of acoustic emission signal analysis ...
The machine industry has undergone several developments in the past years, and reducing the cost and time required for machine designing is important. In this study, the vibration characteristics of a precision grinding machine were obtained through experimental modal analysis and finite element analysis. The experimental modal analysis employed single point excitation, and the equipment used ...
Two major methods can be distinguished: direct and indirect. The direct methods directly evaluate the tool condition using some optical sensor. Kurada and Bradley performed a review of machine vision sensors for tool condition monitoring. Two recent studies that focused on the use of direct method for grinding wheel condition monitoring are Fan ...
Abstract: The paper presents a preliminary review of condition monitoring and fault diagnosis techniques for permanent magnet (PM) machines based only on journal papers published after 1990. The study includes the common abnormalities and faults of PM machines, such as rotor eccentricity, magnet fault, unbalanced magnetic pull, open and short-circuit windings and over …
Tool condition monitoring (TCM) is an important aspect of condition based maintenance (CBM) in all manufacturing processes. Recent work on TCM has generated significant successes for a variety of cutting operations.
The grinding process is commonly used as the final stage of processing. It is used to produce elements that require more tolerance and smooth surface. Considering other processing, such as turning or milling, grinding requires very high energy input per unit volume of material removal. A significant proportion of this energy in the process turns into heat in the grinding zone, which leads to ...
Grinding Monitoring System Based on Power and Acoustic Emission Sensors 6. Karpuschewski, M. Wehmeier, I. lnasaki (1) Department of System Design Engineering, Keio University, Yokohama-shi, Japan Received on December 20,1999 Abstract Improvement of monitoring techniques is essential to make the complex grinding and dressing process more reliable, economical and user …
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 wheel with a small gap.
Maintenance Safety Engineering Notes pdf Details. Unit-3: Condition Monitoring,Demand of condition Monitoring,Process of Condition Monitoring,Installation Cost,Operating Cost,On load and off load-Testing,Visual condition Monitoring,temperature sensitive tapes,Electrical resistance method,linear polarization method,Corrosion potential ...
Keywords: Grinding wheel; Cylindrical grinding process; Fuzzy logic decision system 1. Introduction The paper points at the design and implementation of a neural network and fuzzy logic based system combining the outputs of several sensors for grinding wheel condition monitoring. It can be assumed that in the case of grinding