Integration of industrial photogrammetry and neuro-fuzzy system for measuring and modeling deformation of industrial product surfaces under external forces |
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| Affiliation: | 1. Shandong Province Key Laboratory of Optical Fiber Sensing Technology, Laser Institute of Shandong Academy of Sciences, Jinan 250014, China;2. Shengli Oilfield Geophysical Exploration and Development Company of SINOPEC, Dongying 257100, China;3. Photonics & Optical Communications Group, School of Electrical Engineering & Telecommunications, The University of New South Wales, Sydney 2052, Australia;1. Yıldız Technical University, Faculty of Mechanical Engineering, Department of Mechanical Engineering, Istanbul, Turkey;2. Istanbul University, Faculty of Dentistry, Department of Oral and Maxillofacial Surgery, 34093, Fatih, Istanbul, Turkey;1. The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China;2. The Hong Kong Polytechnic University, Department of Electrical Engineering, Hong Kong, China;3. The Maxphotonics Company Ltd., R&D Department, Shenzhen 518000, China;1. Institute of Engineering Technology, Xinjiang Oilfield Company, Karamay 834000, China;2. Department of Electronic Engineering, Beijing 100084, China;1. Computer Science Research and Application Center, Yüzüncü Yıl University, Van 65080, Turkey;2. Department of Computer Engineering, İnönü University, Malatya 44280, Turkey |
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| Abstract: | Deformation of surfaces under external loadings greatly is function of physical laws. But according to the impossibility of identifying all effective factors and modeling their interactions parametrically, analytical methods do not provide good performance generally. So, it is necessary to apply practical methods by carrying out field tests and measuring deformations directly. To achieve this purpose it is required to integrate capabilities of an accurate measurement technique and a flexible modeling method. The capabilities such as: high accuracy and speed in measuring 3D coordinates of desired points, ability to perform measurement in a continuous space and no need to contact with the surface of objects at the time of measurement make close range photogrammetry a reliable tool for measuring geometric parameters of an object before and after deformation. The ability to measure geometric parameters of an object before and after deformation in one hand and following the deformation from physical laws on the other hand make neuro-fuzzy system the first choice for modeling the deformation of objects using outputs of close range photogrammetry.In this paper, a new method has been presented for measuring and modeling deformation of industrial product surfaces under external forces using close range photogrammetry (as an image-based measurement tool) and neuro-fuzzy network (as a behavior modeling tool). |
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| Keywords: | Close range photogrammetry Deformation Measurement Neuro-fuzzy system |
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