scholarly journals Hybrid Edge–Cloud-Based Smart System for Chatter Suppression in Train Wheel Repair

2019 ◽  
Vol 9 (20) ◽  
pp. 4283 ◽  
Author(s):  
Ruben Merino ◽  
Iñigo Bediaga ◽  
Alexander Iglesias ◽  
Jokin Munoa
Keyword(s):  
Cloud Computing ◽  
Expert System ◽  
Vibration Suppression ◽  
Cutting Speed ◽  
Vibration Monitoring ◽  
Operation Performance ◽  
Speed Reduction ◽  
Repair Operation ◽  
Chatter Suppression ◽  
Profile Machining

The contact profile of a train wheel has a key role in its operation performance. Rolling smoothly and with reduced resistance results in an increase in the efficiency and safety of rail transport. The original shape and dimensions of the profile of the wheel are altered under operation of the train, especially due to braking events and the presence of external objects between the wheel and the railway. With the purpose of recovering the optimum contact profile, train wheels are periodically machined using special lathes. This repair operation is particularly critical in freight trains, which are only reshaped a few times throughout their service life and, therefore, high depths of cut are required to recover the wheel in a productive way. As the presence of chatter vibrations limits the productivity of these operations, a hybrid edge–cloud computing approach has been developed for chatter vibration suppression. An expert system based on automatic chatter detection and suppression has been developed in the edge. The expert system is based on continuous real-time vibration monitoring and combines continuous spindle speed variation (CSSV) and cutting speed reduction to suppress chatter. Cloud computing is used to extract wheel profile machining fingerprints and obtain insights from multiple aggregated machined wheels. An industrial implementation of the system is described in the present work.

Using Expert Systems and Cloud Computing to Build a Diabetes Diagnosis System

2014 ◽  
Vol 651-653 ◽  
pp. 2063-2066
Author(s):  
Chung C. Chang ◽  
Shu Hui Tsai
Keyword(s):  
Cloud Computing ◽  
Diabetic Retinopathy ◽  
Expert System ◽  
Expert Systems ◽  
System Design ◽  
Research Method ◽  
Research Topic ◽  
Prototype System ◽  
Diabetes Diagnosis ◽  
Cloud Platform

This study combines an expert system with cloud computing, establishing the expert system on a cloud platform to provide users with assistance and recommendations about diabetes and diabetic retinopathy diagnosis. This study mainly adopts an empirical approach. The first step is to define the research topic, and then propose questions and the research purpose based on the research background and motivation. Research results are related to three areas, specifically diabetes and diabetic retinopathy, expert systems, and cloud computing. After analyzing and organizing the literature, the research method and scope of research are established with a system design based on the three areas. This study then develops a prototype system to validate, evaluate, and test the expert system. Finally, study gives the conclusion and recommendations.

Selection of Cloud Delivery and Deployment Models

2018 ◽  
Vol 10 (4) ◽  
pp. 17-32
Author(s):  
Mustafa I.M. Eid ◽  
Ibrahim M. Al-Jabri ◽  
M. Sadiq Sohail
Keyword(s):  
Cloud Computing ◽  
Expert System ◽  
Service Delivery ◽  
Cloud Service ◽  
Cloud Services ◽  
Organizational Conditions ◽  
Cloud Computing Adoption ◽  
Selection Decision ◽  
The Right ◽  
System Prototype

Research interests on cloud computing adoption and its effectiveness in terms of cost and time has been increasing. However, one of the challenging decisions facing management in adopting cloud services is taking on the right combinations of cloud service delivery and deployment models. A comprehensive review of literature revealed a lack of research addressing this selection decision problem. To fill this research gap, this article proposes an expert system approach for managers to decide on the right combination of service delivery and deployment model selection. The article first proposes a rule-based expert system prototype, which provides advice based on a set of factors that represent the organizational conditions and requirements pertaining to cloud computing adoption. Next, the authors evaluate the system prototype. Lastly, the article concludes with a discussion of the results, its practical implications, limitations, and further research directions.

Orbit Shape Automatic Recognition Based on Artificial Neural Network

2005 ◽  
Author(s):  
Dongmei Du ◽  
Qing He
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fault Diagnosis ◽  
Expert System ◽  
Recognition Performance ◽  
Shape Recognition ◽  
Vibration Monitoring ◽  
Moment Invariants ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Orbit is a significant symptom in the fault diagnosis of rotating machine. The orbit is a 2-D image and can be described by moment invariants, the shape property of 2-D image, which is a description with translating-, rotating-, and scaling-invariants for 2-D image. The descriptive method of orbit image is investigated and an automatic orbit shape recognition based on artificial neural network (ANN) with moment invariants is proposed in this paper. The ANN of orbit shape recognition is trained by the training patterns generated by computer simulation for plenty of orbit shapes. It is shown that the trained ANN is of good recognition performance and generalization capability when applied to recognition of the measured orbits. This method can be used to the intelligent expert system of fault diagnosis to obtain automatically online orbit symptom in shafts vibration monitoring of turbine generator, which will improve the automatization of obtaining fault symptom and the automatic diagnosis in the expert system.

scholarly journals Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring

2021 ◽  
Vol 27 ◽  
pp. 39-41
Author(s):  
Ankur Verma ◽  
Ayush Goyal ◽  
Soundar Kumara ◽  
Thomas Kurfess
Keyword(s):  
Cloud Computing ◽  
Vibration Monitoring ◽  
Performance Benchmarking ◽  
Computing Performance

scholarly journals Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review

1970 ◽  
Vol 26 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Željko Kanović ◽  
Vladimir Bugarski ◽  
Todor Bačkalić
Keyword(s):  
Expert System ◽  
Waiting Times ◽  
System Optimization ◽  
Optimization Techniques ◽  
Operation Performance ◽  
Artificial Bee Colony Optimization ◽  
Bee Colony ◽  
Comparative Review ◽  
Bee Colony Optimization ◽  
Ship Lock

This paper presents the comparison of some well-known global optimization techniques in optimization of an expert system controlling a ship locking process. The purpose of the comparison is to find the best algorithm for optimization of membership function parameters of fuzzy expert system for the ship lock control. Optimization was conducted in order to achieve better results in local distribution of ship arrivals, i.e. shorter waiting times for ships and less empty lockages. Particle swarm optimization, artificial bee colony optimization and genetic algorithm were compared. The results shown in this paper confirmed that all these procedures show similar results and provide overall improvement of ship lock operation performance, which speaks in favour of their application in similar transportation problem optimization.

Selection of Cloud Delivery and Deployment Models

2021 ◽  
pp. 387-403
Author(s):  
Mustafa I.M. Eid ◽  
Ibrahim M. Al-Jabri ◽  
M. Sadiq Sohail
Keyword(s):  
Cloud Computing ◽  
Expert System ◽  
Service Delivery ◽  
Cloud Service ◽  
Cloud Services ◽  
Organizational Conditions ◽  
Cloud Computing Adoption ◽  
Selection Decision ◽  
The Right ◽  
System Prototype

Research interests on cloud computing adoption and its effectiveness in terms of cost and time has been increasing. However, one of the challenging decisions facing management in adopting cloud services is taking on the right combinations of cloud service delivery and deployment models. A comprehensive review of literature revealed a lack of research addressing this selection decision problem. To fill this research gap, this article proposes an expert system approach for managers to decide on the right combination of service delivery and deployment model selection. The article first proposes a rule-based expert system prototype, which provides advice based on a set of factors that represent the organizational conditions and requirements pertaining to cloud computing adoption. Next, the authors evaluate the system prototype. Lastly, the article concludes with a discussion of the results, its practical implications, limitations, and further research directions.

scholarly journals Design of eddy current dampers for vibration suppression in robotic milling

2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881407 ◽  
Author(s):  
Fan Chen ◽  
Huan Zhao
Keyword(s):  
Eddy Current ◽  
Vibration Suppression ◽  
Milling Process ◽  
Magnetic Flux Density ◽  
Depth Of Cut ◽  
Chatter Suppression ◽  
Robotic Milling ◽  
Eddy Current Damper ◽  
Damper Design ◽  
Milling Robot

The milling robot normally has a low stiffness which may easily cause chatter during machining. This article presents a novel eddy current damper design for chatter suppression in the robotic milling process. The designed eddy current dampers are installed on the milling spindle to damp the tool tip vibrations. The structural design and the working principle of the eddy current dampers are explained. The magnetic flux density distribution and the magnetic force generation of the designed eddy current damper are analyzed with the finite element method. The tool tip dynamics without and with eddy current dampers are modeled, and the damping performance of the proposed eddy current dampers in the robotic milling process is verified through both simulations and experiments. The results show that the peaks of the tool tip frequency response function caused by the milling tool modes are damped significantly, and the stable depth of cut is improved greatly with eddy current dampers.

A Novel Drillstring Dynamics Experimental Setup to Be Integrated Into Hardware in the Loop Capable Drilling Simulators

2017 ◽  
Author(s):  
Antonio Marquez ◽  
Catalin Teodoriu
Keyword(s):  
Vibration Suppression ◽  
Drill String ◽  
Operating Conditions ◽  
Vibration Monitoring ◽  
Small Radius ◽  
Delayed Response ◽  
Experimental Setup ◽  
Hardware In The Loop ◽  
Stick Slip ◽  
New Facility

One of the limiting factors for maximizing drilling performance is drillstring vibration/dynamics. With the development of in-bit, at bit or near bit vibration monitoring sensors, it has been reported that while drilling with PDC bits in hard formations, stick-slip is mostly observed before other types of vibration. Commonly, stick slip is a mathematical problem that can be resolved using various technics (like analytical, numerical, etc.). To compliment this theoretical effort, experimental measurements are required to verify mathematical models under controlled conditions and assess their range of applicability. This is why a large number of laboratory setups around the world exist. A comprehensive literature research has shown that most of the known experimental setups are smaller than 10 m length and focused mainly on vertical wells. Building a setup that reproduces real hydrocarbon wells, including the drill string inertia and the delayed response between bit and surface, as well as the complex friction transfer process taking place between the wellbore and the drillstring, is not feasible. Thus, downscaling the typical drillstring parameters is necessary for the study of vibrations and vibration suppression at laboratory conditions. Vibration suppression modeling and validation require a particular, dedicated laboratory setup. The design of such an installation will be presented in the following paper. The newly proposed experimental setup will exceed all existing stick-slip or lateral vibration experimental setups on the market by size, while adding new features like axial movement (mimicking ROP or heave compensation) and curved sections. This new facility will be the first to integrate the hardware in the loop capabilities and can be connected with any drilling simulator that supports such an option. This design will account not only for torsional vibrations, but will also allow the string to move axially while RPM, WOB and flow rates may be directly linked to a drilling simulator. Because of its design, to resemble medium to small radius of curvature, the stick slip process can be captured and highlighted for a wide range of directional well situations. Once the range in operating conditions was defined, the equipment and mechanical components for the facility were selected and designed. The new facility will significantly improve our ability to reproduce the physics of drill string vibrations and will lead to better optimization of downhole vibration suppression. The incorporated link to drilling simulators can improve the development of the next generation of vibration suppressing models and hardware.

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