scholarly journals Quality 4.0 in Action: Smart Hybrid Fault Diagnosis System in Plaster Production

Processes ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 634
Author(s):  
Javaneh Ramezani ◽  
Javad Jassbi
Keyword(s):  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Descriptive Model ◽  
Industrial Companies ◽  
Main Challenge ◽  
Novel Approach ◽  
Control Chart Patterns ◽  
Hybrid Solutions ◽  
Fault Diagnosis System ◽  
Chart Patterns

Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing the digital transformation of industrial companies employing emerging technologies. Factories of the future will enjoy hybrid solutions, while quality is the heart of all manufacturing systems regardless of the type of production and products. Quality 4.0 is a branch of I4.0 with the aim of boosting quality by employing smart solutions and intelligent algorithms. There are many conceptual frameworks and models, while the main challenge is to have the experience of Quality 4.0 in action at the workshop level. In this paper, a hybrid model based on a neural network (NN) and expert system (ES) is proposed for dealing with control chart patterns (CCPs). The idea is to have, instead of a passive descriptive model, a smart predictive model to recommend corrective actions. A construction plaster-producing company was used to present and evaluate the advantages of this novel approach, while the result shows the competency and eligibility of Quality 4.0 in action.

scholarly journals Open Source Control Device for Industry 4.0 Based on RAMI 4.0

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 869
Author(s):  
Pablo F. S. Melo ◽  
Eduardo P. Godoy ◽  
Paolo Ferrari ◽  
Emiliano Sisinni
Keyword(s):  
Open Source ◽  
Industry 4.0 ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Control Device ◽  
Source Control ◽  
Reference Architecture ◽  
Architecture Model ◽  
Complex Relationships

The technical innovation of the fourth industrial revolution (Industry 4.0—I4.0) is based on the following respective conditions: horizontal and vertical integration of manufacturing systems, decentralization of computing resources and continuous digital engineering throughout the product life cycle. The reference architecture model for Industry 4.0 (RAMI 4.0) is a common model for systematizing, structuring and mapping the complex relationships and functionalities required in I4.0 applications. Despite its adoption in I4.0 projects, RAMI 4.0 is an abstract model, not an implementation guide, which hinders its current adoption and full deployment. As a result, many papers have recently studied the interactions required among the elements distributed along the three axes of RAMI 4.0 to develop a solution compatible with the model. This paper investigates RAMI 4.0 and describes our proposal for the development of an open-source control device for I4.0 applications. The control device is one of the elements in the hierarchy-level axis of RAMI 4.0. Its main contribution is the integration of open-source solutions of hardware, software, communication and programming, covering the relationships among three layers of RAMI 4.0 (assets, integration and communication). The implementation of a proof of concept of the control device is discussed. Experiments in an I4.0 scenario were used to validate the operation of the control device and demonstrated its effectiveness and robustness without interruption, failure or communication problems during the experiments.

A Conceptual Methodology for Recognition of Constrained Control Chart Patterns

2013 ◽  
Vol 845 ◽  
pp. 696-700
Author(s):  
Razieh Haghighati ◽  
Adnan Hassan
Keyword(s):  
Pattern Recognition ◽  
Statistical Process Control ◽  
Control Chart ◽  
Control Charts ◽  
Fault Tolerant ◽  
Constrained Control ◽  
Statistical Process ◽  
Control Chart Patterns ◽  
Control Chart Pattern ◽  
Chart Patterns

Traditional statistical process control (SPC) charting techniques were developed to monitor process status and helping identify assignable causes. Unnatural patterns in the process are recognized by means of control chart pattern recognition (CCPR) techniques. There are a broad set of studies in CCPR domain, however, given the growing doubts concerning the performance of control charts in presence of constrained data, this area has been overlooked in the literature. This paper, reports a preliminary work to develop a scheme for fault tolerant CCPR that is capable of (i) detecting of constrained data that is sampled in a misaligned uneven fashion and/or be partly lost or unavailable and (ii) accommodating the system in order to improve the reliability of recognition.

scholarly journals A Denoising Autoencoder-Based Bearing Fault Diagnosis System for Time-Domain Vibration Signals

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yi Gu ◽  
Jiawei Cao ◽  
Xin Song ◽  
Jian Yao
Keyword(s):  
Fault Diagnosis ◽  
Time Domain ◽  
Rolling Bearing ◽  
Rolling Bearings ◽  
Bp Network ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Novel Approach ◽  
Fault Diagnosis System ◽  
Original Time

The condition monitoring of rotating machinery is always a focus of intelligent fault diagnosis. In view of the traditional methods’ excessive dependence on prior knowledge to manually extract features, their limited capacity to learn complex nonlinear relations in fault signals and the mixing of the collected signals with environmental noise in the course of the work of rotating machines, this article proposes a novel approach for detecting the bearing fault, which is based on deep learning. To effectively detect, locate, and identify faults in rolling bearings, a stacked noise reduction autoencoder is utilized for abstracting characteristic from the original vibration of signals, and then, the characteristic is provided as input for backpropagation (BP) network classifier. The results output by this classifier represent different fault categories. Experimental results obtained on rolling bearing datasets show that this method can be used to effectively diagnose bearing faults based on original time-domain signals.

INTELLIGENT MANUFACTURING SYSTEMS PROJECT IRMA — LINKING VIRTUAL REALITY TO SIMULATION

2003 ◽  
Vol 02 (01) ◽  
pp. 105-110 ◽  
Author(s):  
CHRISTOPH RUNDE ◽  
HOLGER JOOSTEN ◽  
MARKUS MERSINGER ◽  
SABINE BIERSCHENK
Keyword(s):  
Virtual Reality ◽  
Manufacturing Systems ◽  
Control Process ◽  
Flow Simulation ◽  
Industrial Process ◽  
Intelligent Manufacturing ◽  
Robot Kinematics ◽  
Industrial Companies ◽  
Manufacturing Applications ◽  
Core Integration

An international group of industrial companies and research institutions is actually creating an integrated platform for industrial process control, process design, staff training and product design. By linking simulation and virtual reality, project IRMA (A Configurable Virtual Reality system for multi-purpose industrial manufacturing applications) is to improve manufacturing performance. The core integration module is the Delfoi INTEGRATOR™, a PC based message broker used to link a virtual environment and a production/failure database scenario, to different simulations (QUEST and ARENA material flow simulation, IGRIP robot kinematics simulation) or to programmable logic controls using their OPC interface.

Digital Transformation and Industry 4.0

2021 ◽  
pp. 1-17
Author(s):  
Hanaa Abdulraheem Yamani ◽  
Waleed Tageldin Elsigini
Keyword(s):  
Customer Service ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
Fourth Industrial Revolution ◽  
Industrial Companies ◽  
The Future ◽  
Information And Communication ◽  
Definition Of

The current era is witnessing many changes on various levels. The information and communication revolutions are considered one of the important changes which has cast a shadow over how different institutions in society work via the phenomenon of digitization. As some of the most important institutions of society, industrial companies have been responding to this phenomenon of digital transformation to improve products and customer service while achieving a significant profitable return. This response by these institutions to the digital transformation has resulted in the emergence of the so-called fourth industrial revolution. In this context, this chapter reviews the definition of digital transformation as well as its dimensions, benefits, and obstacles. It also comments on the future of digital transformation and its relationship with industry. Ultimately it presents the fourth industrial revolution in terms of its definition, history, criteria, benefits, and the challenges it faces moving into the future.

Industrial Maintenance Entering the Industry 4.0 Era

2021 ◽  
pp. 229-250
Author(s):  
Pedro Fernandes Anunciação ◽  
Vitor Manuel Lemos Dinis ◽  
Francisco Madeira Esteves
Keyword(s):  
Asset Management ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Industrial Revolution ◽  
Response Times ◽  
Production Lines ◽  
Fourth Industrial Revolution ◽  
Industrial Companies ◽  
Management Condition ◽  
Industrial Maintenance

Industry 4.0 marks the beginning of the so-called fourth industrial revolution. The new emerging information technologies, such as internet of things, cloud computing, machine learning, artificial intelligence, among others, have challenged the management and organization of industrial companies. They have now shorter market response times, higher quality requirements, and customization needs, which challenges many industrial areas from production to maintenance, from design to asset management. The maintenance and asset management condition and the reliability of production lines are closely linked and constitute key areas of good industrial operation. This work seeks to present a roadmap proposal for the management of industrial assets from maintenance management. In addition, it seeks to identify the key elements for a roadmap design and proposes a set of management questions to assess maintenance maturity.

scholarly journals Exponential Models of Breakthrough Development of Industrial Systems for Achievement of Global Competitiveness

2019 ◽  
Vol 62 ◽  
pp. 04001
Author(s):  
T.O. Tolstykh ◽  
E.N. Sheremetyeva ◽  
E.V. Shkarupeta ◽  
N.V. Mitropolskaya-Rodionova
Keyword(s):  
Industrial Revolution ◽  
High Growth ◽  
Global Markets ◽  
High Tech ◽  
Industrial Systems ◽  
Exponential Models ◽  
Global Competitiveness ◽  
Leadership Potential ◽  
Industrial Companies ◽  
Methodological Approaches

In terms of the Fourth Industrial Revolution, not only the list of end-to-end technologies is changing, but the thinking and methodological approaches to the development of breakthrough scenarios are radically transformed. Obviously, actively recovering industry in next few years will be one of the main drivers of economic growth in Russia. The main conductor of breakthrough development in these conditions will be promising high-growth industrial companies that have the highest leadership potential in both the Russian and global markets. The article reviews the exponential models of the breakthrough development of industrial systems, which will achieve global competitiveness in high-tech markets.

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