Development of On-Line Monitoring System for Large Rotating Machinery under Complex Circumstance

Large rotating machinery is widely used in industrial production process. With the computer network technology, system testing technology, signal analysis and fault diagnosis technology, large motor based on high speed wire rod production line as the object, the online monitoring method of large motor is present. Based on it, the signal processing approach of large motor under complex circumstance is proposed, and the software of on-line monitoring system for large motor is developed. Through monitoring the key parameters of the distributed signals of temperature, pressure, current and so on, the developed system can accurately analyze and locate critical faults of equipments, reduce faults rate, extend the service life and increase productivity of the motor equipment.

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Development of On-Line Monitoring System and Aging Characteristics Research of Switchgear

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.330.364 ◽

2013 ◽

Vol 330 ◽

pp. 364-367

Author(s):

Shu Xin Liu ◽

Yun Dong Cao ◽

Chun Guang Hou ◽

Yang Liu ◽

Xiao Ming Liu

Keyword(s):

Epoxy Resin ◽

Monitoring System ◽

Estimation Method ◽

Current Transformer ◽

Insulation Material ◽

Electrical Characteristics ◽

Infrared Transmission ◽

Lifetime Estimation ◽

Monitoring Method ◽

On Line

For improving reliable operation of switchgear in power system, an approach for on-line monitoring the insulation characteristic and bus-bar temperature rising of the switchgear is proposed in this paper. Through comparing several existing temperature measurement methods for monitoring temperature rising elevation at bus-bas, a new design of temperature monitoring method is proposed. It adopts quick-magnetic saturated current transformer, temperature sensor and infrared transmission to solve the problem of high voltage isolation. The epoxy resin insulation material which is commonly used in switchgear its aging mechanism data is not complete, seriously restrict on-line monitoring for switchgear, so thousands hours of aging experiment is done on switchgear, systematic study various electrical characteristics variation law on the gradual aging process of epoxy resin insulation materials. Therefore, study on the aging characteristics of switchgearinsulation and its lifetime estimation method is the key technology to understand agingmechanism better, search for new fault diagnostic method and the way to extend theuseful lifetime of switchgear. At last, the system runs in real system and the result shows the on-line monitoring system is stable and reliable which can be provide reference for on-line monitoring system design of switchgear.

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Tool Wear Monitoring of High Speed Milling Based on Vibratory Signal Processing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.565.36 ◽

2014 ◽

Vol 565 ◽

pp. 36-45

Author(s):

Hadjadj Abdechafik ◽

Kious Mecheri ◽

Ameur Aissa

Keyword(s):

Signal Processing ◽

Tool Wear ◽

Monitoring System ◽

High Speed ◽

Milling Process ◽

Machining Performance ◽

High Speed Milling ◽

Tool Wear Estimation ◽

On Line ◽

Wear Monitoring

The objective of this study is to develop a process of treatment of the vibratory signals generated during a horizontal high speed milling process without applying any coolant in order to establish a monitoring system able to improve the machining performance. Thus, many tests were carried out on the horizontal high speed centre (PCI Météor 10), in given cutting conditions, by using a milling cutter with only one insert and measured its frontal wear from its new state that is considered as a reference state until a worn state that is considered as unsuitable for the tool to be used. The results obtained show that the first harmonic follow well the evolution of frontal wear, on another hand a wavelet transform is used for signal processing and is found to be useful for observing the evolution of the wavelet approximations through the cutting tool life. The power and the root mean square (RMS) values of the wavelet transformed signal gave the best results and can be used for tool wear estimation. All this features can constitute the suitable indicators for an effective detection of tool wear and then used for the input parameters of an on-line monitoring system. Nevertheless we noted the remarkable influence of the machining cycle on the quality of measurements by the introduction of a bias on the signal; this phenomenon appears in particular in horizontal milling and in the majority of studies is ignored

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On-Line Monitoring of Blind Fastener Installation Process

Materials ◽

10.3390/ma12071157 ◽

2019 ◽

Vol 12 (7) ◽

pp. 1157

Author(s):

Javier Camacho ◽

Fernando Veiga ◽

Mari Luz Penalva ◽

Alberto Diez-Olivan ◽

Lutz Deitert ◽

...

Keyword(s):

Monitoring System ◽

Special Interest ◽

Online Monitoring ◽

New Method ◽

Back Side ◽

Monitoring Method ◽

Use Of Resources ◽

On Line ◽

Sensor Signals ◽

Evaluation Outcome

Blind fasteners are of special interest for aircraft construction since they allow working on joints where only one side is accessible, as is the case in many common aerospace box-type structures, such as stabilizers and flaps. This paper aims to deliver an online monitoring method for the detection of incorrect installed blind fasteners. In this type of fastener, the back side of the assembly is not accessible, so monitoring the process installation is suitable as a system to assess the formed head at the back side with no access. The solution proposed consists of an on-line monitoring system that is based on sensor signals acquired during the installation. The signals are conveniently analyzed in order to provide an evaluation outcome on how the fastener was installed. This new method will help production to decrease/eliminate time and cost-intensive inspections and fasteners over installation in structures. The decrease of the number of installed fasteners will also contribute to weight savings and will reduce the use of resources.

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On-Line Monitoring of Drill Wear Using Air-Coupled Audio Microphone when Drilling Composite Materials

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.590.645 ◽

2014 ◽

Vol 590 ◽

pp. 645-650 ◽

Cited By ~ 1

Author(s):

Eshetu D. Eneyew ◽

Mamidala Ramulu

Keyword(s):

Composite Materials ◽

Tool Wear ◽

High Speed ◽

Cutting Tool ◽

Flank Wear ◽

High Speed Steel ◽

High Rate ◽

Drilling Process ◽

Monitoring Method ◽

On Line

The condition of the cutting tool when drilling composite materials is the controlling factor for the surface integrity of hole produced. The high rate of tool wear when drilling composite materials makes finding a way to monitor the condition of the cutting tool without interrupting the drilling process a great necessity. Inspecting the condition of the drill between or during the drilling process is not practical or economical. In an attempt to tackle this problem, a new approach of on-line tool wear monitoring method using an air-coupled audio microphone is proposed. An experimental investigation was conducted on multi-directional carbon fiber reinforced plastic (CFRP) composite material using a high speed steel (HSS) drill. The result shows that, the amplitude of the acoustic signal from the microphone decreases when the amount of flank wear increases and the amplitude of thrust force and torque increases with the increase of the flank wear. This result demonstrates that the proposed approach can be used as an effective and economical tool for on-line monitoring of cutting tool condition.

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Telemicroscopy

Microscopy Today ◽

10.1017/s1551929500068061 ◽

1993 ◽

Vol 1 (5) ◽

pp. 6-8

Author(s):

Gary Fan ◽

Phil Mercurio ◽

Steve Young ◽

Mark Ellisman

Keyword(s):

Electron Microscope ◽

High Speed ◽

Computer Network ◽

The Internet ◽

Voltage Electron ◽

Projection Screen ◽

High Voltage Electron Microscope ◽

On Line ◽

E Mail ◽

Speed Computer

While many of us have used a computer network to send E-mail, how about using it to remotely control an electron microscope? That's exactly what Telemicroscopy refers to.Up to now electron microscopy (EM) has been conducted typically in a darkened enclosure, with the operator sitting in the dark for hours staring at a dim phosphor screen. This paradigm was not, however, closely followed during the telemicroscopy demonstration at the SIGGRAPH 1992 meeting in Chicago, where microscopic images were acquired on-line over the Internet high-speed computer network from the intermediate-high voltage electron microscope located at the San Diego Microscopy and Imaging Resource. Stereo-pairs were displayed on a color projection screen in front of many spectators and camera crews.

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Proposal of a Monitoring System for Collaborative Robots to Predict Outages and to Assess Reliability Factors Exploiting Machine Learning

Applied Sciences ◽

10.3390/app11041621 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1621

Author(s):

Khurshid Aliev ◽

Dario Antonelli

Keyword(s):

Machine Learning ◽

Monitoring System ◽

High Speed ◽

Collaborative Work ◽

Separation Distance ◽

Industrial Robots ◽

Management Technique ◽

Collaborative Robots ◽

On Line

Industry standards pertaining to Human-Robot Collaboration (HRC) impose strict safety requirements to protect human operators from danger. When a robot is equipped with dangerous tools, moves at a high speed or carries heavy loads, the current safety legislation requires the continuous on-line monitoring of the robot’s speed and a suitable separation distance from human workers. The present paper proposes to make a virtue out of necessity by extending the scope of on-line monitoring to predicting failures and safe stops. This has been done by implementing a platform, based on open access tools and technologies, to monitor the parameters of a robot during the execution of collaborative tasks. An automatic machine learning (ML) tool on the edge of the network can help to perform the on-line predictions of possible outages of collaborative robots, especially as a consequence of human-robot interactions. By exploiting the on-line monitoring system, it is possible to increase the reliability of collaborative work, by eliminating any unplanned downtimes during execution of the tasks, by maximising trust in safe interactions and by increasing the robot’s lifetime. The proposed framework demonstrates a data management technique in industrial robots considered as a physical cyber-system. Using an assembly case study, the parameters of a robot have been collected and fed to an automatic ML model in order to identify the most significant reliability factors and to predict the necessity of safe stops of the robot. Moreover, the data acquired from the case study have been used to monitor the manipulator’ joints; to predict cobot autonomy and to provide predictive maintenance notifications and alerts to the end-users and vendors.

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A monitoring method for car-body vibration displacement of a high-speed train in windy conditions

Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit ◽

10.1177/09544097211034100 ◽

2021 ◽

pp. 095440972110341

Author(s):

Tian Li ◽

Dongrun Liu ◽

Zhaijun Lu ◽

XiaoBai Li ◽

Mu Zhong

Keyword(s):

Monitoring System ◽

High Speed ◽

High Speed Train ◽

Vibration Displacement ◽

Monitoring Method ◽

Body Vibration ◽

Car Body ◽

Long Term Monitoring ◽

Term Monitoring

The long-term monitoring of car-body vibration displacement when a high-speed train passes through complex terrain sections in windy conditions has become an urgent engineering problem in China. However, few studies have focused on this topic, and an effective engineering long-term monitoring method is lacking in China. In this study, by combining the vibration characteristics and structural characteristics of railway vehicles, a real-time car-body displacement monitoring method to fulfill monitoring requirements was proposed, and a mathematical computational model based on space coordinate transformations to calculate the car-body displacements in operation was developed. Moreover, the comparison and the verification of the monitoring system accuracy were conducted using full-scale tests. The results showed that the displacement of the car-body relative to the bogie frame obtained through the system was consistent with the real vibration state of the car-body. Therefore, our monitoring system was reliable in reflecting the car-body vibration displacement changes in high-speed trains that were in motion.

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