Approach to establish a hybrid intelligent model for crack diagnosis in a fix-hinge beam structure

2019 ◽  
Vol 10 (2) ◽  
pp. 208-229
Author(s):  
Sanjay Kumar Behera ◽  
Dayal R. Parhi ◽  
Harish C. Das
Keyword(s):  
Intelligent Systems ◽  
Crack Detection ◽  
Crack Depth ◽  
Experimental Results ◽  
Experimental Investigations ◽  
Beam Structure ◽  
Artificial Intelligent ◽  
Content Type ◽  
Hybrid Intelligent Systems ◽  
Intelligent Model

Purpose With the development of research toward damage detection in structural elements, the use of artificial intelligent methods for crack detection plays a vital role in solving the crack-related problems. The purpose of this paper is to establish a methodology that can detect and analyze crack development in a beam structure subjected to transverse free vibration. Design/methodology/approach Hybrid intelligent systems have acquired their own distinction as a potential problem-solving methodology adopted by researchers and scientists. It can be applied in many areas like science, technology, business and commerce. There have been the efforts by researchers in the recent past to combine the individual artificial intelligent techniques in parallel to generate optimal solutions for the problems. So it is an innovative effort to develop a strong computationally intelligent hybrid system based on different combinations of available artificial intelligence (AI) techniques. Findings In the present research, an integration of different AI techniques has been tested for accuracy. Theoretical, numerical and experimental investigations have been carried out using a fix-hinge aluminum beam of specified dimension in the presence and absence of cracks. The paper also gives an insight into the comparison of relative crack locations and crack depths obtained from numerical and experimental results with that of the results of the hybrid intelligent model and found to be in good agreement. Originality/value The paper covers the work to verify the accuracy of hybrid controllers in a fix-hinge beam which is very rare to find in the available literature. To overcome the limitations of standalone AI techniques, a hybrid methodology has been adopted. The output results for crack location and crack depth have been compared with experimental results, and the deviation of results is found to be within the satisfactory limit.

The hybrid intelligent systems design using grey systems theory

2015 ◽  
Vol 5 (2) ◽  
pp. 194-205 ◽  
Author(s):  
Scarlat Emil ◽  
Virginia Mărăcine
Keyword(s):  
Systems Theory ◽  
Intelligent Systems ◽  
Explicit Knowledge ◽  
Intelligent System ◽  
Grey System Theory ◽  
Knowledge Flows ◽  
Content Type ◽  
Hybrid Intelligent Systems ◽  
Advantages And Disadvantages ◽  
Grey Systems Theory

Purpose – The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the grey hybrid intelligent systems (HISs). The feedback processes and mechanisms between internal and external knowledge determine the apparition of grey knowledge into an intelligent system (IS). The extension of ISs is determined by the ubiquity of the internet but, in our framework, the grey knowledge flows assure the viability and effectiveness of these systems. Design/methodology/approach – Some characteristics of the Hybrid Intelligent Knowledge Systems are put forward along with a series of models of hybrid computational intelligence architectures. More, relevant examples from the literature related to the hybrid systems architectures are presented, underlying their main advantages and disadvantages. Findings – Due to the lack of a common framework it remains often difficult to compare the various HISs conceptually and evaluate their performance comparatively. Different applications in different areas are needed for establishing the best combinations between models that are designed using grey, fuzzy, neural network, genetic, evolutionist and other methods. But all these systems are knowledge dependent, the main flow that is used in all parts of every kind of system being the knowledge. Grey knowledge is an important part of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches. Originality/value – The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used in different hybrid architectures.

scholarly journals IT-ethical issues in sci-fi film within the timeline of the Ethicomp conference series

2015 ◽  
Vol 13 (3/4) ◽  
pp. 314-325
Author(s):  
Anne Gerdes
Keyword(s):  
Science Fiction ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Data Privacy ◽  
Ethical Issues ◽  
Distant Future ◽  
Artificial Intelligent ◽  
Content Type ◽  
Social Actors ◽  
Conference Series

Purpose – This paper aims to explore human technology relations through the lens of sci-fi movies within the life cycle of the ETHICOMP conference series. Here, different perspectives on artificial intelligent agents, primarily in the shape of robots, but also including other kinds of intelligent systems, are explored. Hence, IT-ethical issues related to humans interactions with social robots and artificial intelligent agents are illustrated with reference to: Alex Proyas’ I, Robot; James Cameron’s Terminator; and the Wachowski brothers’ Matrix. All three movies present robots cast in the roles of moral agents capable of doing good or evil. Steven Spielberg’s Artificial Intelligence, A.I. gives rise to a discussion of the robot seen as a moral patient and furthermore reflects on possibilities for care and trust relations between robots and humans. Andrew Stanton’s Wall-E shapes a discussion of robots as altruistic machines in the role as facilitators of a flourishing society. Steven Spielberg’s Minority Report allows for a discussion of knowledge-discovering technology and the possibility for balancing data utility and data privacy. Design/methodology/approach – Observations of themes in sci-fi movies within the life span of the ETHICOMP conference series are discussed with the purpose of illustrating ways in which science fiction reflects (science) faction. In that sense, science fiction does not express our worries for a distant future, but rather casts light over questions, which is of concern in the present time. Findings – Human technology interactions are addressed and it is shown how sci-fi films highlight philosophical questions that puzzle us today, such as which kind of relationships can and ought to be formed with robots, and whether the roles they play as social actors demand that one ought to assign moral standing to them. The paper does not present firm answers but instead pays attention to the selection and framing of questions that deserve attention. Originality/value – To relate sci-fi movies to topics raised during the past 20 years of the ETHICOMP conference series, seemed to be an appropriate way of celebrating the 20-year anniversary of the ETHICOMP conference series.

Micro-crack detection of solar cell based on adaptive deep features and visual saliency

Sensor Review ◽  
2020 ◽  
Vol 40 (4) ◽  
pp. 385-396
Author(s):  
Xiaoliang Qian ◽  
Jing Li ◽  
Jianwei Zhang ◽  
Wenhao Zhang ◽  
Weichao Yue ◽  
...  
Keyword(s):  
Solar Cell ◽  
Machine Vision ◽  
Crack Detection ◽  
Visual Saliency ◽  
Data Representation ◽  
Input Image ◽  
Experimental Results ◽  
Content Type ◽  
Supervised Training ◽  
Micro Cracks

Purpose An effective machine vision-based method for micro-crack detection of solar cell can economically improve the qualified rate of solar cells. However, how to extract features which have strong generalization and data representation ability at the same time is still an open problem for machine vision-based methods. Design/methodology/approach A micro-crack detection method based on adaptive deep features and visual saliency is proposed in this paper. The proposed method can adaptively extract deep features from the input image without any supervised training. Furthermore, considering the fact that micro-cracks can obviously attract visual attention when people look at the solar cell’s surface, the visual saliency is also introduced for the micro-crack detection. Findings Comprehensive evaluations are implemented on two existing data sets, where subjective experimental results show that most of the micro-cracks can be detected, and the objective experimental results show that the method proposed in this study has better performance in detecting precision. Originality/value First, an adaptive deep features extraction scheme without any supervised training is proposed for micro-crack detection. Second, the visual saliency is introduced for micro-crack detection.

Numerical and experimental investigations on the wear behavior of water-lubricated bearings with different materials

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liwu Wang ◽  
Yanfeng Han ◽  
Dongxing Tang ◽  
Jianlin Cai
Keyword(s):  
Friction And Wear ◽  
Wear Behavior ◽  
Wear Test ◽  
Coupling Model ◽  
Mixed Lubrication ◽  
Experimental Results ◽  
Experimental Investigations ◽  
Wear Depth ◽  
Content Type ◽  
Polyether Ether Ketone

Purpose The purpose of this paper is to verify the effectiveness of the proposed transient mixed lubrication and wear coupling model [mixed lubrication and wear (MLW) coupling model] under water lubricated conditions by comparing with the experimental results. Design/methodology/approach Water lubricated bearings are the key parts of the transmission system of an underwater vehicle and some surface ships. In this study, the friction and wear behaviors of rubber, nylon and polyether ether ketone (PEEK) samples with stainless steel underwater lubrication were compared by using ring-block contact structure on multifunctional friction and wear test bench-5000 friction and wear tester. Findings The results show that the transient wear depth and wear amount of PEEK, nylon and rubber samples under water lubrication are in good agreement with the calculated results of the theoretical model, which verifies the rationality and scientific nature of the MLW coupling model. Thus, the numerical model is applicable for the wear prediction of the journal bearing under water-lubricated conditions. Furthermore, numerical and experimental results reveal that the anti-wear performance among three water-lubricated materials can be ranked by: PEEK > nylon > rubber. Originality/value It is expected that this study can provide more information for experimental and numerical research of water-lubricated bearings under water-lubricated conditions.

Implementation of a Web interface for hybrid intelligent systems

2019 ◽  
Vol 15 (4) ◽  
pp. 420-431 ◽  
Author(s):  
Shinji Sakamoto ◽  
Admir Barolli ◽  
Leonard Barolli ◽  
Shusuke Okamoto
Keyword(s):  
Intelligent Systems ◽  
Hill Climbing ◽  
Web Interface ◽  
Placement Problem ◽  
Swarm Optimization ◽  
Content Type ◽  
Node Placement ◽  
Hybrid Intelligent Systems ◽  
Distributed Genetic Algorithm ◽  
Two Hybrid

PurposeThe purpose of this paper is to implement a Web interface for hybrid intelligent systems. Using the implemented Web interface, this paper evaluates two hybrid intelligent systems based on particle swarm optimization, hill climbing and distributed genetic algorithm to solve the node placement problem in wireless mesh networks (WMNs).Design/methodology/approachThe node placement problem in WMNs is well-known to be a computationally hard problem. Therefore, the authors use intelligent algorithms to solve this problem. The implemented systems are intelligent systems based on meta-heuristics algorithms: Particle Swarm Optimization (PSO), Hill Climbing (HC) and Distributed Genetic Algorithm (DGA). The authors implement two hybrid intelligent systems: WMN-PSODGA and WMN-PSOHC-DGA.FindingsThe authors carried out simulations using the implemented Web interface. From the simulations results, it was found that the WMN-PSOHC-DGA system has a better performance compared with the WMN-PSODGA system.Research limitations/implicationsFor simulations, the authors considered Normal distribution of mesh clients. In the future, the authors need to consider different client distributions, patterns, number of mesh nodes and communication distance.Originality/valueIn this research work, the authors implemented a Web interface for hybrid intelligent systems. The implemented interface can be extended for other metaheuristic algorithms.

Surface crack detection and monitoring in metal structure using RFID tag

Sensor Review ◽  
2020 ◽  
Vol 40 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Yawei Xu ◽  
Lihong Dong ◽  
Haidou Wang ◽  
Xiaozhu Xie ◽  
Peng Wang
Keyword(s):  
Surface Crack ◽  
Crack Detection ◽  
Crack Depth ◽  
Ground Plane ◽  
Metal Structure ◽  
Metal Plate ◽  
Rfid Tags ◽  
Content Type ◽  
Rfid Tag ◽  
Short Service Life

Purpose RFID tags for sensing are available to operate and transmit sensing data to measurement equipment without battery and wires, which is a great advantage in establishing IoT environment. For crack sensing tags, however, the short service life of tags restricted their application. This paper aims to introduce a method of surface crack detection and monitoring based on RFID tag, which makes it possible for tags to be reused. Design/methodology/approach Metal plate to be monitored, acting as the ground plane of microstrip patch antenna, is underneath the crack sensing tag. The propagating surface crack in metal plate will change the electric length of tag’s antenna that is directly proportional to the crack depth and length. Thus, the deformation of sensing tag introduced by the load on metal structure is no longer a prerequisite for crack sensing. Findings The simulated and experimental results show that the proposed crack sensing tag can sense the change of surface crack with mm-resolution and sense surface crack propagation without a deformation, which means the proposed crack sensing tag can be reused. Originality/value The key advantage of the proposed method is the reusability of the RFID tags.

EXPERIMENTAL STUDY ON BREATHING CRACK DETECTION AND EVALUATION UNDER RANDOM LOADING WITH ENTROPY

2017 ◽  
Vol 41 (5) ◽  
pp. 669-680
Author(s):  
Buddhi Wimarshana ◽  
Felliphe Goes ◽  
Nan Wu* ◽  
Christine Wu
Keyword(s):  
Crack Detection ◽  
Crack Depth ◽  
Total Thickness ◽  
Breathing Crack ◽  
Random Loading ◽  
Beam Structure ◽  
Engineering Structures ◽  
Entropy Measures ◽  
Frequency Components ◽  
Random Frequency

Breathing crack detection and evaluation on a beam under random loading is experimentally studied and realized using entropy measures. During testing, the beam is subjected to random excitations which is the most evident excitation type experienced by most of the engineering structures. Frequency response function is employed to erase the random frequency components due to the excitation from the response of the structure to pick up the vibration characteristics of the beam structure itself with/without the breathing crack. Based on experimental results, the proposed methodology can clearly discriminate a crack with 25% depth of the total thickness of the beam from the healthy case. It is also capable of distinguishing a 50% crack depth from a 25% crack depth with distinct entropy values.

“Please tidy up before leaving”: nudging Airbnb guests toward altruistic behavior

2019 ◽  
Vol 13 (4) ◽  
pp. 524-530 ◽  
Author(s):  
Paul Ranson ◽  
Daniel Guttentag
Keyword(s):  
Social Presence ◽  
Design Methodology ◽  
Field Experiments ◽  
Experimental Results ◽  
Altruistic Behavior ◽  
Content Type ◽  
The Social ◽  
Relationship Model ◽  
Social Market ◽  
Practical Implications

Purpose This study aimed to investigate whether increasing the social presence within an Airbnb lodging environment could nudge guests toward altruistic cleaning behaviors. Design/methodology/approach The study was based around a theoretical framework combining the social-market versus money-market relationship model, nudge theory and social presence theory. A series of three field experiments were conducted, in which social presence was manipulated to test its impact on guest cleaning behaviors prior to departure. Findings The experimental results confirmed the underlying hypothesis that an Airbnb listing’s enhanced social presence can subtly induce guests to help clean their rental units prior to departure. Originality/value This study is the first to examine behavioral nudging in an Airbnb context. It is also one of the first field experiments involving Airbnb. The study findings offer clear theoretical and practical implications.

Sign in / Sign up

Export Citation Format

Share Document