The Experts below are selected from a list of 45198 Experts worldwide ranked by ideXlab platform

Tamas Szecsi - One of the best experts on this subject based on the ideXlab platform.

  • a dc motor based cutting tool Condition Monitoring System
    Journal of Materials Processing Technology, 1999
    Co-Authors: Tamas Szecsi
    Abstract:

    Abstract In this paper a cutting tool Condition Monitoring System for CNC lathes is presented. The System is based on the measurement of the main DC motor current of the lathes. It consists of current and rotation speed sensors, a cutting tool – part touch sensor, analogue memory, amplifiers, filters and a personal computer. The System is capable of functioning in three modes depending on the machined surface. It can take into account the part diameter variation and the acceleration of the spindle. The System is trained by a genetic algorithm based fuzzy rule set. The Monitoring System can be used in an unmanned manufacturing environment.

Karthik Sankaranarayanan - One of the best experts on this subject based on the ideXlab platform.

  • A Privacy-Preserving Vehicular Crowdsensing-Based Road Surface Condition Monitoring System Using Fog Computing
    IEEE Internet of Things Journal, 2017
    Co-Authors: Sultan Basudan, Xiaodong Lin, Karthik Sankaranarayanan
    Abstract:

    In the recent past, great attention has been directed toward road surface Condition Monitoring. As a matter of fact, this activity is of critical importance in transportation infrastructure management. In response, multiple solutions have been proposed which make use of mobile sensing, more specifically contemporary applications and architectures that are used in both crowdsensing and vehicle-based sensing. This has allowed for automated control as well as analysis of road surface quality. These innovations have thus encouraged and showed the importance of cloud to provide reliable transport services to clients. Nonetheless, these initiatives have not been without challenges that range from mobility support, locational awareness, low latency, as well as geo-distribution. As a result, a new term has been coined for this novel paradigm, called, fog computing. In this paper, we propose a privacy-preserving protocol for enhancing security in vehicular crowdsensing-based road surface Condition Monitoring System using fog computing. At the onset, this paper proposes a certificateless aggregate signcryption scheme that is highly efficient. On the basis of the proposed scheme, a data transmission protocol for Monitoring road surface Conditions is designed with security aspects such as information confidentiality, mutual authenticity, integrity, privacy, as well as anonymity. In analyzing the System, the ability of the proposed protocol to achieve the set objectives and exercise higher efficiency with respect to computational and communication abilities in comparison to existing Systems is also considered.

Sultan Basudan - One of the best experts on this subject based on the ideXlab platform.

  • A Privacy-Preserving Vehicular Crowdsensing-Based Road Surface Condition Monitoring System Using Fog Computing
    IEEE Internet of Things Journal, 2017
    Co-Authors: Sultan Basudan, Xiaodong Lin, Karthik Sankaranarayanan
    Abstract:

    In the recent past, great attention has been directed toward road surface Condition Monitoring. As a matter of fact, this activity is of critical importance in transportation infrastructure management. In response, multiple solutions have been proposed which make use of mobile sensing, more specifically contemporary applications and architectures that are used in both crowdsensing and vehicle-based sensing. This has allowed for automated control as well as analysis of road surface quality. These innovations have thus encouraged and showed the importance of cloud to provide reliable transport services to clients. Nonetheless, these initiatives have not been without challenges that range from mobility support, locational awareness, low latency, as well as geo-distribution. As a result, a new term has been coined for this novel paradigm, called, fog computing. In this paper, we propose a privacy-preserving protocol for enhancing security in vehicular crowdsensing-based road surface Condition Monitoring System using fog computing. At the onset, this paper proposes a certificateless aggregate signcryption scheme that is highly efficient. On the basis of the proposed scheme, a data transmission protocol for Monitoring road surface Conditions is designed with security aspects such as information confidentiality, mutual authenticity, integrity, privacy, as well as anonymity. In analyzing the System, the ability of the proposed protocol to achieve the set objectives and exercise higher efficiency with respect to computational and communication abilities in comparison to existing Systems is also considered.

Zhong Liu - One of the best experts on this subject based on the ideXlab platform.

  • Condition Monitoring System for Hydro Turbines Based on LabVIEW
    2012 Asia-Pacific Power and Energy Engineering Conference, 2012
    Co-Authors: Zhong Liu, Shuyun Zou, Lihua Zhou
    Abstract:

    The operating Conditions of hydro turbines' have a significant influence on the safety and economic benefit for hydropower plants. In this paper, a Condition Monitoring System for hydro turbines based on LabVIEW is proposed. Typical measurands for hydro turbines' Condition Monitoring and their respective sensors are studied and determined. The configuration and function modules of the proposed System are established and implemented. The results of the application to a Francis turbine have shown that this System helps to obtain the hydraulic turbine's state and is promising to be a technical reference for the field engineers.

  • research on an on line wear Condition Monitoring System for marine diesel engine
    Tribology International, 2000
    Co-Authors: Yan Liu, Zhong Liu, Youbai Xie, Zhigang Yao
    Abstract:

    This paper introduces a kind of on-line wear Condition Monitoring System for marine diesel engines. The System consists of three functions i.e. particle detecting, lubricant quality detecting and shaft torque moment and instantaneous rotation velocity detecting. The System detects wear particles in lubricant with an on-line ferrograph so as to judge wear Condition of tribo-pairs of the diesel engine. A vertical detector fixed is used for environment of the marine diesel engine in this System, and the rule of distribution of particles in the vertical detector fixed and the horizontal detector fixed are alike in substance. The System detects the relative variation of lubricant quality by the grid capacitance sensors in an on-line way, which consists of an upper capacitance and a lower capacitance and can distinguish the relative variation of the dielectric constant of lubricant caused by pollutants such as water, metal particles etc. The System detects the shaft torque moment and the instantaneous rotation velocity of the diesel engine with photoelectric sensors, and corresponds the wear Condition with the power Condition by the change of instantaneous rotation velocity due to burning pressure change, which is helpful to judge cylinder wear.

Maurizio Rondi - One of the best experts on this subject based on the ideXlab platform.

  • Implementation of a Condition Monitoring System on an Electric Arc Furnace Through a Risk-Based Methodology
    Value Based and Intelligent Asset Management, 2020
    Co-Authors: Cristian Colace, Simone Pala, Nelson R. Matarazzo, Luca Fumagalli, Marco Macchi, Maurizio Rondi
    Abstract:

    This chapter presents the deployment of a Condition Monitoring System on an electric arc furnace in a steel making company, ranging from the development of the System until its implementation and the results achieved by its use in the plant. A step-wise risk-based methodology is introduced and it is adopted to deploy the Condition Monitoring System. The electric arc furnace is a relevant asset for safety issues; due to the characteristics of the furnace—running continuously at high temperatures and in harsh environmental Conditions—many components cannot be visually inspected, thus a maintenance System, with real-time Monitoring capabilities, represents a proper solution to keep under control the asset health state. Besides the Monitoring activity, appropriate risk information must also be shown to maintenance personnel to effectively improve maintenance activity. In this concern, the Condition Monitoring System, herein presented, can be considered an E-maintenance tool, integrated within an existing industrial ICT infrastructure, and representing one practical application of E-maintenance concept within industry.

  • Implementation of a Condition Monitoring System on an electric arc furnace through a risk-based methodology
    Proceedings of the Institution of Mechanical Engineers Part O: Journal of Risk and Reliability, 2015
    Co-Authors: Cristian Colace, Simone Pala, Nelson R. Matarazzo, Luca Fumagalli, Marco Macchi, Maurizio Rondi
    Abstract:

    This article presents the deployment of a Condition Monitoring System on an electric arc furnace in a steel-making company, ranging from the development of the System until its implementation and the results achieved by its use in the plant. A step-wise risk-based methodology is introduced and it is adopted to deploy the Condition Monitoring System. The electric arc furnace is a relevant asset for safety issues; due to the characteristics of the furnace – running continuously at high temperatures and in harsh environmental Conditions – many components cannot be visually inspected; thus, a maintenance System, with real-time Monitoring capabilities, represents a proper solution to keep under control the asset health state. Besides the Monitoring activity, appropriate risk information must also be shown to maintenance personnel to effectively improve maintenance activity. In this concern, the Condition Monitoring System, herein presented, can be considered an E-maintenance tool, integrated within an existing information and communication technology infrastructure, and representing one practical application of E-maintenance concept within industry.