Relevant bibliographies by topics / Broken tool detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Broken tool detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Broken tool detection"

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Lian, Ling Neng, Bin Li, and Hong Qi Liu. "Study of Spindle Current Signals for Tool Breakage Detection in Milling." Advanced Materials Research 853 (December 2013): 482–87. http://dx.doi.org/10.4028/www.scientific.net/amr.853.482.

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Failure of cutting tools significantly decreases machining productivity and product quality, thus, tool condition monitoring is significant in modern manufacturing processes. In this paper, a novel method based on singular value decomposition (SVD) and Linear Discriminant analysis (LDA) is proposed for detection of different broken tooth via spindle-motor current signals generated in end milling process. First, SVD algorithm is adopted to extract the useful singular values as salient features for indicating the tool state. Then classify the tool breakage event based on the selected features th
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Jayakumar, K., and S. Thangavel. "Vibration Analysis of Industrial Drive for Broken Bearing Detection Using Probabilistic Wavelet Neural Network." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 4 (2015): 541. http://dx.doi.org/10.11591/ijpeds.v5.i4.pp541-551.

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A reliable monitoring of industrial drives plays a vital role to prevent from the performance degradation of machinery. Today’s fault detection system mechanism uses wavelet transform for proper detection of faults, however it required more attention on detecting higher fault rates with lower execution time. Existence of faults on industrial drives leads to higher current flow rate and the broken bearing detected system determined the number of unhealthy bearings but need to develop a faster system with constant frequency domain. Vibration data acquisition was used in our proposed work to dete
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Walterfang, Mark, Ronald Siu, and Dennis Velakoulis. "The NUCOG: Validity and Reliability of a Brief Cognitive Screening Tool in Neuropsychiatric Patients." Australian & New Zealand Journal of Psychiatry 40, no. 11-12 (2006): 995–1002. http://dx.doi.org/10.1080/j.1440-1614.2006.01923.x.

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Objectives: To examine the validity and reliability of a brief cognitive screen instrument, the Neuropsychiatry Unit Cognitive Assessment Tool (NUCOG), in patients with dementia, major psychiatric disorders and neurological disorders, and to compare its performance with the Mini-Mental State Examination (MMSE). Method: The NUCOG was undertaken with the MMSE on a total of 347 individuals, with 82 subjects in the control group and 265 in the patient group. The patient group consisted of patients with dementia (n = 65), non-dementing neurological disorders (n = 44) and psychiatric illness (n = 15
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Wibowo, Tunjung, Dwikisworo Setyowireni, and A. Samik Wahab. "Liquid crystal thermometry for early detection of hypothermia in newborns in neonatology ward, Sardjito Hospital, Yogyakarta." Paediatrica Indonesiana 48, no. 1 (2008): 5. http://dx.doi.org/10.14238/pi48.1.2008.5-9.

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Background Hypothermia in neonates increases the risk ofmortality and morbidity such as infection, coagulation disorders,acidosis and hyaline membrane disease. Mercury thermometer iscommonly used to detect hypothermia in newborns, but it has itis not ecological acceptable, difficult to be sterilized, easily broken,difficult to find in some developing countries and needs sometraining before use. A simple, effective and easily used tool fordetection of hypothermia in newborns is needed.Objective To evaluate the ability of liquid crystal thermometry(LCT) in early detection of newborn hypothermia.
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Yoo, SeokJae, and Q.-Han Park. "Metamaterials and chiral sensing: a review of fundamentals and applications." Nanophotonics 8, no. 2 (2019): 249–61. http://dx.doi.org/10.1515/nanoph-2018-0167.

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AbstractChirality, a property of broken mirror symmetry, prevails in nature. Chiral molecules show different biochemical behaviors to their mirror molecules. For left or right circularly polarized lights, the fundamental chiral states of electromagnetic fields interact differently with chiral matter, and this effect has been used as a powerful tool for the detection of chiral molecules. This optical sensing, also termed chiral sensing, is not only easy to implement but also non-invasive to the analytes. However, the measurements made by the optical sensing of chiral molecules are challenging,
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Bel, Patricia Damian, and Bugao Xu. "Measurements of seed coat fragments in cotton fibers and fabrics." Textile Research Journal 81, no. 19 (2011): 1983–94. http://dx.doi.org/10.1177/0040517511407370.

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Seed coat fragments (SCFs) are the parts of a seed coat that have been broken from the surface of either mature or immature seeds during mechanical processing. SCFs can cause spinning problems and fabric defects, which ultimately cause financial losses to the cotton industry. The objective of this study was to develop and evaluate an image-analysis tool that detects SCFs on fabrics and compares various methods of detection of SCFs in fiber and fabric. The first part of this paper looks at 12 international cottons (a broad range of cottons from distinctly different regions). The version called
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Aliyu, Sambo Haruna, Yusuf Zakariyya Adam, Rabiu Salisu Hassan, and Sani Hashim. "AWARENESS, ATTITUDE AND PRACTICE TOWARDS HALITOSIS- A CASE STUDY AT COLLAGE OF HEALTH SCIENCE AND TECHNOLOGY JAHUN, JIGAWA STATE NIGERIA." International Journal of Research -GRANTHAALAYAH 6, no. 4 (2018): 72–79. http://dx.doi.org/10.29121/granthaalayah.v6.i4.2018.1477.

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Globally halitosis has been associated with stigma, social insecurity, anxiety, depression and symptoms of obsessive disorder among those affected. Research has shown that there is no universal agreement about what diagnosis criteria and what detection method should be used to define which individual have halitosis and which do not have. The study was conducted to assess awareness attitude and practice toward halitosis among students of collage of health sciences and technology Jahun Jigawa state. The study design adopted was a descriptive and cross sectional type. 305 students were randomly s
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Feng, Wei Dong, Ji Hui Pan, and Wen Xu. "Tool Broken Protection System on Bogie Frame Deep-Hole Drilling." Advanced Materials Research 791-793 (September 2013): 1010–13. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1010.

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During drilling and tapping the deep holes of ratio of length to diameter of 6:1 to 10:1, the tools likely suffer random breakage, On account of such situation, a drilling overload protective system based on spindle power monitoring is raised. The analysis and processing of the abnormal signals detected by means of the principle of wavelet theory and real-time cross-correlation algorithm by detecting the loads and current of the machine spindle motor and changes of phase angles between voltage and current resulting in change of power, the shortcoming of hard determination of threshold function
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Aaron, Skye, Dustin S. McEvoy, Soumi Ray, Thu-Trang T. Hickman, and Adam Wright. "Cranky comments: detecting clinical decision support malfunctions through free-text override reasons." Journal of the American Medical Informatics Association 26, no. 1 (2018): 37–43. http://dx.doi.org/10.1093/jamia/ocy139.

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Abstract Background Rule-base clinical decision support alerts are known to malfunction, but tools for discovering malfunctions are limited. Objective Investigate whether user override comments can be used to discover malfunctions. Methods We manually classified all rules in our database with at least 10 override comments into 3 categories based on a sample of override comments: “broken,” “not broken, but could be improved,” and “not broken.” We used 3 methods (frequency of comments, cranky word list heuristic, and a Naïve Bayes classifier trained on a sample of comments) to automatically rank
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Jing, Li Ming, Hao Wang, and Li Wen Wang. "3D Model Reconstruction of the Broken Aeroengine Blade Based on the Detection Operator." Applied Mechanics and Materials 159 (March 2012): 1–5. http://dx.doi.org/10.4028/www.scientific.net/amm.159.1.

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This paper made the 3D model reconstruction of the V2500 turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, the grayscale of space-image algorithm was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.
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Dissertations / Theses on the topic "Broken tool detection"

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Křížek, Michal. "Návrh metodiky a vytvoření vybraných programových modulů pro nastavování a snímání defektů soustružnických nástrojů pomocí laserového měřícího zařízení." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-228137.

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This diploma thesis deals with possibility of a non-contact tool corrections measurement and broken tool detection on CNC lathes. For this purpose was made a methodology for measuring and application in NC program. For testing the program in praxis was used CNC lathe SPM 16 with Sinumerik 840D controller. As measuring equipment was used a laser probe NC4 by Renishaw manufacturer.
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Book chapters on the topic "Broken tool detection"

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Xu, Xun. "Program CNCs." In Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-714-0.ch009.

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A CNC machine can be programmed in different ways to machine a workpiece. In addition to creating the cutting program, many other factors also need to be considered or programmed. These include workholding devices, cutting tools, machining conditions as well as the machining strategy. The first generation CNCs were programmed manually and punched tapes were used as a medium for transferring the machine control data (MCD), that is, G-codes into a controller. Tapes were later replaced by RS232 cables, floppy disks, and finally standard computer network cables. Today’s CNC machines are controlled directly from files created by CAD/CAM or CAM software packages, so that a part or assembly can go directly from design to manufacturing without the need of producing a drafted paper drawing of the component. This means that for the first time, bringing design and manufacturing under the same automation regime becomes a reachable target. Error detection features give CNC machines the ability to alert the operator in different ways including giving a ring to the operation’s mobile phone if it detects that a tool has broken. While the machine is awaiting replacement on the tool, it would run other parts that are already loaded up to that tool and wait for the operator. The focus of this chapter is on a detailed account of the basics of CNC programming, and the emphasis is on G-code and Automatic Programming Tool (APT). G-code is still the dominant manual programming language for CNC machine tools. It is also the main form of control commands many CAD/CAM (or CAM) systems output. APT was developed soon after G-codes and CNC machine tools were developed to alleviate the drudgery work of straight G-code programming. Modern CAD/CAM systems these days are now becoming the main-stream tools for CNC programming.
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Zhou, Xin-Gen, Dongyan Zhang, and Fenfang Lin. "UAV Remote Sensing: An Innovative Tool for Detection and Management of Rice Diseases." In Diagnostics of Plant Diseases [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.95535.

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Unmanned aerial vehicle (UAV) remote sensing is a new alternative to traditional diagnosis and detection of rice diseases by visual symptoms, providing quick, accurate and large coverage disease detection. UAV remote sensing offers an unprecedented spectral, spatial, and temporal resolution that can distinguish diseased plant tissue from healthy tissue based on the characteristics of disease symptoms. Research has been conducted on using RGB sensor, multispectral sensor, and hyperspectral sensor for successful detection and quantification of sheath blight (Rhizoctonia solani), using multispectral sensor to accurately detect narrow brown leaf spot (Cercospora janseana), and using infrared thermal sensor for detecting the occurrence of rice blast (Magnaporthe oryzae). UAV can also be used for aerial application, and UAV spraying has become a new means for control of rice sheath blight and other crop diseases in many countries, especially China and Japan. UAV spraying can operate at low altitudes and various speeds, making it suitable for situations where arial and ground applications are unavailable or infeasible and where precision applications are needed. Along with advances in digitalization and artificial intelligence for precision application across fertilizer, pest and crop management needs, this UAV technology will become a core tool in a farmer’s precision equipment mix in the future.
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Margree, Victoria. "Speculative society, risk and the crime thriller: The Datchet Diamonds." In Richard Marsh, popular fiction and literary culture, 1890-1915. Manchester University Press, 2018. http://dx.doi.org/10.7228/manchester/9781526124340.003.0005.

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Marsh’s The Datchet Diamonds (1898) weaves together crime and romance elements with a financial plot concerning stock market speculation. Drawing on New Economic Criticism, this chapter argues that the novel is fascinatingly ambivalent in its treatment of speculation, appearing to condemn it as dishonourable and criminal while surreptitiously endorsing the very risk-taking behaviour on which it relies. The novel’s ‘decent-man-tempted’ protagonist is rendered attractive to readers through his willingness coolly to stare down danger and play the odds, putting him in uncomfortable proximity to the models of criminal masculinity that the text presents. As a crime thriller, The Datchet Diamonds works by soliciting readerly enjoyment of exposure to risk: as such, it reveals the limitations of crime scholarship that has focused too narrowly upon ‘ideologically conservative’ detective fiction, pointing instead to the willingness of readers to identify with transgressor-protagonists, to see laws broken and social hierarchies questioned.
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Schäfer, Lothar, and Susan Q. Newton. "Ab Initio Calculations of Amino Acids and Peptides." In Molecular Orbital Calculations for Biological Systems. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195098730.003.0012.

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In the late seventies and early eighties, a small number of researchers who had the requisite resources at their disposal made the first systematic attempts to employ the newly emerging quantum-chemical computational tools in experimental studies of molecular structures (for reviews see Boggs 1983G, 1988G; Schäfer et al. 1983G, 1987G, 1988aG; and Geise et al. 1988G). In this process, which provided an important testing ground for the evolution of computational chemistry, the ab initio geometric optimizations of glycine (Sellers et al. 1978AA) represent a special landmark. In a sequence of events unprecedented in conformational chemistry, the results of the optimizations first suggested the existence of a hidden conformation that had remained undetected in two independent microwave spectroscopic studies of the compound (Brown et al. 1978G; Suenram et al. 1978G), and then guided new experiments that led to the detection of the missing state (Suenram et al. 1980G; Schafer et al. 1980AA). In the first microwave investigations of glycine (Brown et al. 1978G; Guenram et al. 1978G)—experiments whose success represent a considerable achievement because glycine is difficult to work with in the vapor phase—the observed transitions were assigned to the cyclic form, C, of the compound. In both studies, it was emphasized that other conformers of glycine could have been present but were not detected in the microwave spectra because their line intensities were weaker than those of C. Nevertheless, since C was observed but not the stretched form, S, Brown et al. concluded that “the most likely conformation of glycine in the vapor state” is C and that the experimental result was in conflict with ab initio calculations of glycine by Vishveshwara and Pople (1977AA) in which S was found more stable than C. Brown et al. (1978G): “The microwave spectrum of glycine vapor has been measured and analyzed; it is in the molecular form with a dipole moment of 4.5–4.6D and probably having conformation (C), which is in conflict with a recent theoretical study that implies that conformation (S) is more stable.” In the sixties and seventies, theoretical chemistry had developed a somewhat uncertain reputation.
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Conference papers on the topic "Broken tool detection"

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Ismail, Fathy, and Ali Elbik. "Tool Breakage Detection Using Statistical Moments." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/vib-8327.

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Abstract On-line monitoring and detection of tool breakage is essential for highly automated machining centers. This paper presents a tool breakage method that utilizes statistical moments of the Beta distribution. The method has been applied successfully by the first author for the detection of tooth cracks in gears. It is extended here to the detection of chipped or broken teeth (inserts) in milling cutters. The method is assessed using cutting tests of steel workpieces employing Taguchi’s approach for statistical design of experiments. Results of these experiments show the Kurtosis of the B
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Hopkins, Brad M., and Saied Taheri. "Broken Rail Prediction and Detection Using Wavelets and Artificial Neural Networks." In 2011 Joint Rail Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/jrc2011-56026.

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Current track health monitoring requires time consuming use of railway monitoring vehicles. This paper presents a rail defect detection and classification algorithm that could potentially be used with bogie side frame vertical acceleration data from a data acquisition system located onboard a train car during daily operation. The algorithm uses wavelets to process the vertical acceleration data and detect irregularities in the signal. Wavelets have proven themselves to be useful in event detection and other applications where localization is needed in both the time and frequency domains. Tradi
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Zhou, Kang. "Prioritization of Rail Defect Inspection: A Risk-Based Optimization Approach." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2226.

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Broken rail is the most common type of mainline derailment cause on freight railroads in the United States. Detection and removal of rail defects is important for reducing the risk due to broken-rail-caused derailments. The current practice is to periodically inspect rails using non-destructive technologies, particularly ultrasonic inspection. Determining and prioritizing the frequency of rail defect inspection is an important decision in broken rail risk management. A generalized, risk-based mixed integer nonlinear programming (MINLP) model is developed which can optimize segment-specific rai
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Moussa, M. A., Y. Maouche, M. E. K. Oumaamar, and A. Khezzar. "A new approach for real-time tool dedicated to the detection of broken bar fault in induction motor." In 2013 8th International Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2013. http://dx.doi.org/10.1109/eleco.2013.6713837.

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Menacer, Arezki, Sandrine Moreau, Gerard Champenois, Mohamed Said Nait Said, and Abdelhamid Benakcha. "Experimental Detection of Rotor Failures of Induction Machines by Stator Current Spectrum Analysis in Function of the Broken Rotor Bars Position and the Load." In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400406.

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Abuhamdia, Tariq, Saied Taheri, Abe Meddah, and David Davis. "Rail Defect Detection Using Data From Tri-Axial Accelerometers." In 2014 Joint Rail Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/jrc2014-3703.

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This study explores detecting rail defects (track ride quality exceptions) during train operations using real-time x, y and z acceleration data measured and collected on the side frame of a 315,000-lb gross rail load instrumented freight car. Different analysis tools were developed and employed to capture the peculiar characteristics of the data. This includes Harmonic analysis of the data, Wavelet analysis, energy density analysis, and correlation analysis. Based on the analysis results, different filtration and processing techniques were tried to identify the defects throughout the test data
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Katterbauer, Klemens, Virginie Schoepf, Alberto Marsala, and Linda Abbassi. "A Smart Classification Framework for Enhancing Reliability in Downhole Gas Bubble Sensing." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206020-ms.

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Abstract Production logging tools (PLTs) and formation testing, even in logging while drilling (LWD) conditions during underbalanced drilling, are key technologies for assessing the productivity potential of a gas well and therefore to maximize recovery. Gas bubble detection sensors are key components in determining the fluid phases in the reservoir and accurately quantify recoverable reserves, optimize well placement, geosteering and to qualify the production ability of the well. We present here a new nonlinear autoregressive - breakdown artificial intelligence (AI) detection framework for PL
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Hwang, Sheng-Dih, and Te-Chuan Wang. "Identify the Broken Loop and Break Sizes of Recirculation Line LOCA for a BWR6/MarkIII Plant." In 2020 International Conference on Nuclear Engineering collocated with the ASME 2020 Power Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icone2020-16089.

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Abstract In this study, the MAAP5 code was used as the tool to simulate a reactor operated at steady-state and occurred an LOCA with different break sizes at the recirculation loops. A BWR6/MarkIII nuclear power plant (NPP) was selected as the sample deck. By detecting the temperature difference between the loops, and then the break size could be determined including which loop and how is the break size. Moreover, this study had also analyzed the effect of break sizes affecting the characteristic of an NPP. These results were consistent with the previous experiments and codes. This study also
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Ivanov, Oleg, Alexey Danilovich, Vyacheslav Stepanov, Sergey Smirnov, and Victor Potapov. "Remote Measurements of Radioactivity Distribution With BROKK Robotic System." In ASME 2009 12th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2009. http://dx.doi.org/10.1115/icem2009-16147.

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Robotic system for the remote measurement of radioactivity in the reactor areas was developed. The BROKK robotic system replaces hand-held radiation measuring tools. The system consists of a collimated gamma detector, a standard gamma detector, color CCD video camera and searchlights, all mounted on a robotic platform (BROKK). The signals from the detectors are coupled with the video signals and are transferred to an operator’s console via a radio channel or a cable. Operator works at a safe position. The video image of the object with imposed exposure dose rate from the detectors generates an
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Sha, Jingjie, and Yunfei Chen. "Detection of DNA in a Nanopore Fabricated From Glass Tube." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62789.

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Nanopores are increasingly utilized as tools for single molecule detection in biotechnology. Here, we report an improved fabrication process to make solid-state nanopores from glass tubes with the help of paraffin. Based on the physical footprint of the phase change of the paraffin, nanocavity is formed in the broken terminal after thermally compressing and pulling the glass capillary. Nanopores with the minimum diameter of 20 nm are fabricated. The key step is to control the thickness of paraffin layer attached in the inner wall, which could affect the diameter of the nanopore. We investigate
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