The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform
J. Saniie - One of the best experts on this subject based on the ideXlab platform.
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Morphological Filters: Statistical Evaluation and Applications in Ultrasonic NDE
Review of Progress in Quantitative Nondestructive Evaluation, 1993Co-Authors: M.a. Mohamed, J. SaniieAbstract:In this paper, morphological filters [1-4] have been applied to Detect Flaw echoes in ultrasonic signals contaminated by grain scattering noise (i.e., clutters or speckles). In particular, the statistical properties of morphological operations (i.e., dilation, closing, clos-erosion and clos-opening) are examined using Monte Carlo simulation when applied to signals with uniform and Rayleigh distributions. The simulated results and their statistics (mean and variance) present an interpretation of the noise suppression capability of morphological filters and their biasing effects. This information has been utilized to design a suitable structuring element to enhance Flaw-to-clutter ratio in ultrasonic testing. The processed experimental results (A-Scans and B-Scans) show that morphological filters can improve Flaw visibility by suppressing grain scattering noise.
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Application of morphological filters in ultrasonic Flaw Detection
IEEE Symposium on Ultrasonics, 1Co-Authors: M.a. Mohamed, J. SaniieAbstract:Morphological filters were used to Detect Flaws in ultrasonic signals contained by grain scattering noise (i.e., speckles). In particular, the deterministic and stochastic properties of morphological filters were studied in the context of utilizing different structuring elements. The structuring elements were characterized by their shape, width, and height. The information content of ultrasonic signals was used to design a suitable structuring element to enhance the Flaw-to-clutter ratio. The processed experimental results show that morphological filters can Detect Flaw echoes while the suppressing microstructure noise. >
M.a. Mohamed - One of the best experts on this subject based on the ideXlab platform.
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Morphological Filters: Statistical Evaluation and Applications in Ultrasonic NDE
Review of Progress in Quantitative Nondestructive Evaluation, 1993Co-Authors: M.a. Mohamed, J. SaniieAbstract:In this paper, morphological filters [1-4] have been applied to Detect Flaw echoes in ultrasonic signals contaminated by grain scattering noise (i.e., clutters or speckles). In particular, the statistical properties of morphological operations (i.e., dilation, closing, clos-erosion and clos-opening) are examined using Monte Carlo simulation when applied to signals with uniform and Rayleigh distributions. The simulated results and their statistics (mean and variance) present an interpretation of the noise suppression capability of morphological filters and their biasing effects. This information has been utilized to design a suitable structuring element to enhance Flaw-to-clutter ratio in ultrasonic testing. The processed experimental results (A-Scans and B-Scans) show that morphological filters can improve Flaw visibility by suppressing grain scattering noise.
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Application of morphological filters in ultrasonic Flaw Detection
IEEE Symposium on Ultrasonics, 1Co-Authors: M.a. Mohamed, J. SaniieAbstract:Morphological filters were used to Detect Flaws in ultrasonic signals contained by grain scattering noise (i.e., speckles). In particular, the deterministic and stochastic properties of morphological filters were studied in the context of utilizing different structuring elements. The structuring elements were characterized by their shape, width, and height. The information content of ultrasonic signals was used to design a suitable structuring element to enhance the Flaw-to-clutter ratio. The processed experimental results show that morphological filters can Detect Flaw echoes while the suppressing microstructure noise. >
Riyadh Nazar Ali Algburi - One of the best experts on this subject based on the ideXlab platform.
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Health Assessment and Fault Detection System for an Industrial Robot Using the Rotary Encoder Signal
Energies, 2019Co-Authors: Riyadh Nazar Ali AlgburiAbstract:In an industrial robot, rotary encoders have been extensively used for dynamic control and positioning. This study shows that the encoder signal, after appropriate processing, can also be efficiently utilized for the health observation of energy performance of industrial robots system. Singular spectrum analysis (SSA) and Hilbert transform (HT) is proposed in this work, for Detecting weak position oscillations to estimate the instantaneous amplitudes (IA) and the instantaneous frequencies (IF) of an industrial robot based on the encoder signal. Compared with empirical mode decomposition (EMD) and HT, the singular spectrum analysis and Hilbert transform (SSAHT) outperforms empirical mode decomposition Hilbert transform (EMDHT) in terms of ability and precision to determine source noise, and it can accurately catch the weak oscillations without signal deformation in both position and speed introduced via mechanical Flaws. Combined with SSA, the IA and IF of both oscillations and residual are extracted by HT. They are obtained from the robot arm movement. These features play an important role in improving the performance Detecting weak oscillations and the residual, essential information to evaluate the health conditions and fault Detection to serve the energy performance for the industrial robot. The efficiency of the proposed system has been verified both numerical simulation and experimental data. The outcomes prove that the proposed SSAHT can Detect Flaw indications and additionally, it can also identify faulty components. Thus, the study presents a promising tool for the health monitoring of an industrial robot instead of the vibration-based monitoring scheme.
Irving J. Oppenheim - One of the best experts on this subject based on the ideXlab platform.
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Ultrasonic Flaw Detection in a monorail box beam
Proceedings of SPIE, 2009Co-Authors: Peng Zheng, David W. Greve, Irving J. OppenheimAbstract:A steel box beam in a monorail application is constructed with an epoxy grout wearing surface, precluding visual inspection of its top flange. This paper describes a sequence of experimental research tasks to develop an ultrasonic system to Detect Flaws (such as fatigue cracks) in that flange, and the results of a field test to demonstrate system performance. The problem is constrained by the fact that the flange is exposed only along its longitudinal edges, and by the fact that permanent installation of transducers at close spacing was deemed to be impractical. The system chosen for development, after experimental comparison of alternate technologies, features angle-beam ultrasonic transducers with fluid coupling to the flange edge; the emitting transducers create transverse waves that travel diagonally across the width of the flange, where an array of receiving transducers Detect Flaw reflections and Flaw shadows. The system rolls along the box beam, surveying (screening) the top flange for the presence of Flaws. In a first research task, conducted on a full-size beam specimen, we compared waves generated from different transducer locations, either the flange edge or the web face, and at different frequency ranges. At relatively low frequencies, such as 100 kHz, we observed Lamb wave modes, and at higher frequency, in the MHz range, we observed nearlylongitudinal waves with trailing pulses. In all cases we observed little attenuation by the wearing surface and little influence of reflection at the web-flange joints. At the conclusion of this task we made the design decision to use edgemounted transducers at relatively high frequency, with correspondingly short wavelength, for best scattering from Flaws. In a second research task we conducted experiments at 55% scale on a steel plate, with machined Flaws of different size, and Detected Flaws of target size for the intended application. We then compared the performance of bonded transducers, fluid-coupled transducers, and angle-beam (wedge) transducers; from that comparison we made the design decision to use wedges, which beam the wave to increase the scattering from Flaws. We also compared the performance of wired transducers using fluid coupling to that of wireless (inductively coupled) transducers mounted permanently. Although the wireless transducers achieved Flaw Detection, the necessary spacing (determined experimentally) would have required an impractical number of transducers. Therefore, we made the design decision to use wedge transducers with fluid coupling. In a third research task we developed and tested a rolling system with a water channel for acoustic coupling, including a study of its sensitivity to misalignment, and in a fourth task we devised a data display to create a pattern of reflections or shadows that could be easily interpreted as evidence of a Flaw. Finally, we conducted a field test on the full-size system in a region containing bolt holes, which act as a physical simulation of a Flaw, and show successful Detection of reflections and shadows from those holes.
Tong Yala - One of the best experts on this subject based on the ideXlab platform.
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Thermocouple sensor technology applied in Detecting thermal Flaw inner cylinder head
2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010Co-Authors: Zhang Ping, Ouyang Guang-yao, Tong YalaAbstract:Under Analyzing temperature field distribution of cylinder head, the Flaw inner cylinder head was machined on electric discharge machine. According to engine practical working condition, a special experimental platform was set up to Detect Flaw inner cylinder head by using thermocouple sensor. The results showed thermocouple sensors fixed in cylinder head can directly Detect Flaw, especially on point 2 and point 8, which were near the Flaw position, and can provide effective method for further monitoring thermal condition of cylinder head.