Fuzzy Logic Application in Improving Maintenance in a Mining Company (PMC)

2018 ◽  
pp. 129-157
Keyword(s):  
Crack Detection ◽  
Bearing Failure ◽  
Main Shaft ◽  
Destructive Testing ◽  
Mining Company ◽  
Root Cause ◽  
Analysis Technique ◽  
Platinum Mining ◽  
Solid Works ◽  
Non Destructive

At a platinum mining company, the research was based on the root cause analysis technique. The objective was to determine the major causes of failure of the pebble crusher, to estimate between the major crusher failures and provide suitable solutions that included the optimization of the crushing circuit. Major failures were investigated including the breaking of the main shaft, bearing failure, and also entry of tramp iron in the crushing chamber. In solving these problems, analysis of stresses was done using solid works 2015, and condition monitoring techniques were applied using MATLAB 2015 to investigate the development of the crack in the shaft. The results showed that EN 19 has better physical properties than EN 9 and EN 26. EN 19 was recommended for the construction of the main shaft. Crack detection prediction by using MATLAB can be complemented and validated by the use of non-destructive testing.

scholarly journals Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

Metals ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 612 ◽  
Author(s):  
Jue Hu ◽  
Weiping Xu ◽  
Bin Gao ◽  
Gui Tian ◽  
Yizhe Wang ◽  
...  
Keyword(s):  
Crack Detection ◽  
Pattern Mining ◽  
Learning Method ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Pulsed Thermography ◽  
Testing Technology ◽  
Deep Region ◽  
Detection And Localization ◽  
Non Destructive

Eddy Current Pulsed Thermography is a crucial non-destructive testing technology which has a rapidly increasing range of applications for crack detection on metals. Although the unsupervised learning method has been widely adopted in thermal sequences processing, the research on supervised learning in crack detection remains unexplored. In this paper, we propose an end-to-end pattern, deep region learning structure to achieve precise crack detection and localization. The proposed structure integrates both time and spatial pattern mining for crack information with a deep region convolution neural network. Experiments on both artificial and natural cracks have shown attractive performance and verified the efficacy of the proposed structure.

Application of B-Scan SAT Mode, an Acoustic Cross Section Technique to Analyze Packaged Components beyond Delamination

2020 ◽  
Author(s):  
Srinath Rajaram ◽  
Denise Barrientos ◽  
Nadia Ahmad ◽  
Robert Carpenter ◽  
Eric Barbian
Keyword(s):  
Failure Analysis ◽  
Integrated Circuit ◽  
Turnaround Time ◽  
Destructive Testing ◽  
Cross Sectional ◽  
Root Cause ◽  
Section Technique ◽  
Customer Returns ◽  
Tomography Method ◽  
Non Destructive

Abstract Failure Analysis labs involved in customer returns always face a greater challenge, demand from customer for a faster turnaround time to identify the root cause of the failure. Unfortunately, root cause identification in failure analysis is often performed incompletely or rushing into destructive techniques, leading to poor understanding of the failure mechanism and root-cause, customer dissatisfaction. Scanning Acoustic Tomography (SAT), also called Scanning Acoustic Microscope (SAM) has been adopted by several Failure Analysis labs because it provides reliable non-destructive imaging of package cracks and delamination. The SAM is a vital tool in the effort to analyze molded packages. This paper provides a review of non-destructive testing method used to evaluate Integrated Circuit (IC) package. The case studies discussed in this paper identifies different types of defects and the capabilities of B-Scan (cross-sectional tomography) method employed for defect detection beyond delamination.

A Novel Acoustic Emission Technique to Monitor Damage Evolution in Masonry Structures

2010 ◽  
Vol 163-167 ◽  
pp. 2461-2464
Author(s):  
Paola Antonaci ◽  
Pietro G. Bocca ◽  
Davide Masera
Keyword(s):  
Acoustic Emission ◽  
Damage Evolution ◽  
Mechanical Response ◽  
Acoustic Emission Technique ◽  
Destructive Testing ◽  
Cyclic Action ◽  
Emission Analysis ◽  
Analysis Technique ◽  
Non Destructive

The aim of this work is to analyse the mechanical response of the masonry specimens under long-term action by means of cyclic tests. To this end laboratory tests were carried out at the Non-Destructive Testing Laboratory of the Politecnico di Torino. The Acoustic Emission technique was employed to assess the damage evolution, and the mechanical properties decay in order to evaluate the extent and the evolution of micro and macro-cracking due to cyclic action until structural collapse in masonry blocks and mortar layers by means of a novel Acoustic Emission analysis technique.

scholarly journals Research on High Resolution Stress Corrosion Crack Detection Based on Remote Field Eddy Current Non-Destructive Testing

2015 ◽  
Vol 9 (1) ◽  
pp. 339-345 ◽  
Author(s):  
Xu Xiaojie ◽  
Jia Yueling ◽  
Zhang Zhanbin
Keyword(s):  
High Resolution ◽  
Stress Corrosion ◽  
Stress Corrosion Crack ◽  
Eddy Current ◽  
Crack Detection ◽  
Detection System ◽  
Destructive Testing ◽  
Axial Crack ◽  
Non Destructive ◽  
Current Detection

Although remote field eddy current had achieved successive application in pipes and tubes non-destructive testing, the poor ability and sensitivity to axial crack such as stress corrosion crack prevented its further application. A novel high resolution remote field eddy current detection method which can be suitable for axial crack especially stress corrosion crack detection was proposed and verified by simulation and experiment. First of all, conventional detection ability of remote field eddy current for crack in different directions was researched with detail. Aside from this, applicability of orthogonal magnetic filed in remote field eddy current was analyzed and simulated by finite element method, and appropriate configuration using to generating orthogonal magnetic fields for tubular structure was discussed and verified. Thirdly, design of detection system including key parameters selection and detection coil mode were researched. At last, proposed high resolution detection system were verified experimentally using various type defects, such as parallel axial crack and real stress corrosion crack. From the above research, conclusions were drawn as followed: the detection ability and sensitivity of proposed remote field eddy current detection system could be improved significantly compared with conventional system, especially for axial crack which was not easily to detect, and real stress corrosion crack could be detected and evaluated successively.

Optimizing Boiler Generating Bank Tube Reliability Through the Use of IRIS Non Destructive Testing

2004 ◽  
Author(s):  
Dominic Marra
Keyword(s):  
Dade County ◽  
Destructive Testing ◽  
Ultrasonic Probe ◽  
Optimization Program ◽  
Root Cause ◽  
Testing Method ◽  
Use Of Resources ◽  
Tube Plugging ◽  
Nondestructive Testing Method ◽  
Non Destructive

The boilers’ generating bank (convective) section began suffering repeated random failures at the Miami-Dade County Resources Recovery Facility. The plant embarked on an optimization program to better identify and target the failures using non destructive ultrasonic Internal Rotary Inspection Services (IRIS) testing. Through the use of the IRIS nondestructive testing method, the plant was able to identify 3 major contributors to tube failures by mapping out the locations of the tube wastage across all 4 boilers at the facility. The testing allowed optimizing the use of resources allocated to this area of the boiler and resulted in a considerable drop of unscheduled downtime and increase in generating bank tube reliability. The IRIS testing method involves an ultrasonic probe that is lowered down the inside of the tubes. The tubes are flooded with water in order to get a full 360-degree thickness survey of the tubes from top to bottom, (steam drum to mud drum). The data for over 4.7 miles (7.5 Km) of linear tube per boiler is recorded digitally and presented on a CD. By pinpointing the location and severity of tube wastage across the entire generating bank section, the root cause of the failures could be identified. An integrated solution was developed involving a combination of tube replacements, shielding, tube plugging, and soot blower optimization. This paper summarizes the results of the testing and optimization program.

Waveform Pattern Recognition Applied to Rapid Detection of Wall-Thinning in Pipes: A Simulation-Based Case Study

2016 ◽  
Author(s):  
Wissam M. Alobaidi ◽  
Eric Sandgren ◽  
Hussain M. Al-Rizzo
Keyword(s):  
Pattern Recognition ◽  
Correlation Analysis ◽  
Destructive Testing ◽  
Wall Thinning ◽  
Analysis Technique ◽  
Frequency Peak ◽  
Calibration Models ◽  
Simulation Based ◽  
Waveform Pattern ◽  
Non Destructive

Pattern recognition using correlation analysis (Cij) method is useful for non-destructive testing of physical objects, including pipes. An evaluation of the technique based on Computer Simulation Technology (CST) models has demonstrated the advantages of using the technique to detect and classify pipe wall thinning (PWT) in pipes. Given enough increments, the technique can be refined to detect any possible combination of PWT attributes. For this research 71 different simulations were modeled for purposes of calibration of the system, based on five varied properties of the modeled PWT instances. These properties include: location (29 simulations based on distance from origin and two lengths of PWT, for a total of 58 simulations), width (standardized at 25.4mm), depth (four simulations as radius of PWT at 78.74mm, 81.28mm, 83.82mm, and 86.36mm), length (four simulations as percentage of circumference: 25%, 50%, 75% and 100% circumferential PWT) and type of defect (five simulations based on five discrete profiles). Microwaves were simulated from port 1 and port 2, with a sweeping frequency range (0.5 GHz bandwidth), analyzed as S11 and S21 for measuring and calibrating the response to the standards. The resulting waveforms became the standard patterns against which 11 unknown simulations were compared, sometimes using S11 waveforms for comparison, and at other times S21. The correlation analysis technique was able to distinguish parameters for the unknown test cases. The technique is able to determine the correlation between the resonance frequency peak (RFP) and waveform for an unknown case, and those of nearby calibration models, via pattern recognition. For example, 0.847 and 0.872 correlations to two standard patterns for an unknown RFP which appears midway between two standard RFPs, produces a peak for the unknown that is equidistant from the RFPs for the standards.

scholarly journals Resonant frequency tracking mode on eddy current pulsed thermography non-destructive testing

2020 ◽  
Vol 378 (2182) ◽  
pp. 20190607
Author(s):  
Ling Miao ◽  
Bin Gao ◽  
Haoran Li ◽  
Guiyun Tian
Keyword(s):  
Resonant Frequency ◽  
Eddy Current ◽  
Crack Detection ◽  
Excitation Source ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Pulsed Thermography ◽  
Frequency Tracking ◽  
Excitation Coil ◽  
Non Destructive

Eddy current pulsed thermography (ECPT) has been widely used in the field of non-destructive testing due to its safety, non-contact detection, high spatial resolution and intuitive results. Inductive excitation source is an important component of ECPT and provides high-frequency alternating current to drive the excitation coil. However, a resonant frequency distortion phenomenon exists in the excitation source during the detection process, which seriously affects the output power of the excitation source and the sample detection effect. This paper presents a fast resonant frequency tracking loop for full bridge series resonant inverter which is used to search the resonance frequency in real time through direct digital synthesizer (DDS) and all-digital phase-locked loop. Theoretical analysis and simulation are presented to explain the working principle of the loop. Then, an experimental prototype is manufactured which serves as an excitation source for the ECPT experimental system. Compared with traditional excitation sources, the prototype does not need a water-cooled device and the tracking speed can be adjusted by modifying the parameters of DDS. Finally, experiments have been conducted on both artificial slot of 45# steel and natural cracks of rail and stainless steel to investigate the influence of resonant frequency tracking speed on the crack detection. The results revealed that reducing the resonant frequency tracking time can efficiently improve defect detectability and the manufactured prototype showed more application potential. This article is part of the theme issue ‘Advanced electromagnetic non-destructive evaluation and smart monitoring’.

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