Quality Detection Method Research Articles

A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm

In the modern manufacturing industry, the welding quality is one of the key factors which affect the structural strength and the comprehensive quality of the products. It is an important part to establish the standard of welding quality detection and evaluation in the process of production management. At present, the detection technologies of welding quality are mainly performed based on the 2D image features. However, due to the influence of environmental factors and illumination conditions, the welding quality detection results based on grey images are not robust. In this paper, a novel welding detection system is established based on the 3D reconstruct technology for the arc welding robot. The shape from shading (SFS) algorithm is used to reconstruct the 3D shapes of the welding seam and the curvature information is extracted as the feature vector of the welds. Furthermore, the SVM classification method is adopted to perform the evaluation task of welding quality. The experimental results show that the system can quickly and efficiently fulfill the detection task of welding quality, especially with good robustness for environmental influence cases. Meanwhile, the method proposed in this paper can well solve the weakness issues of conventional welding quality detection technologies.

Hydrocarbon compositions and physicochemical characteristics for the determination of gasoline quality: An implication from gas chromatographic fingerprints

ABSTRACTTwo gasoline samples were collected from Saudi Arabia petrol station and subjected for studying their quality as liquid fuel. Gasoline samples were characterized and compared by studying their physicochemical properties such as average molecular weight, relative density, percent carbon, percent hydrogen, total oxygen content, and octane number. In addition, it was performed to study the group analysis and detailed hydrocarbon composition of automotive gasoline samples via gas chromatographic (GC) fingerprints as a practical method for quality detection.

Clinical value of octamer-binding transcription factor 4 as a prognostic marker in patients with digestive system cancers: A systematic review and meta-analysis.

The role of octamer-binding transcription factor 4 (Oct4) has been implicated in the clinical prognosis of various kinds of digestive system cancers, but the results remain controversial. The purpose of this meta-analysis is to assess the potential role of Oct4 as a prognostic marker in digestive system tumors. Relevant articles were retrieved from Pubmed, Web of Science, and Cochrane Library up to July 2016. The software Stata 12.0 was used to analyze the outcomes, including overall survival (OS), disease-free survival, recurrence-free survival, and clinicopathological characteristics. A total of 13 eligible studies with 1538 patients were included. Elevated Oct4 expression was significantly associated with poor OS (pooled hazard ratio [HR]=2.183, 95% confidence interval [CI]: 1.824-2.612), disease-free survival (pooled HR=1.973, 95% CI: 1.538-2.532), and recurrence-free survival (pooled HR=2.209, 95% CI: 1.461-3.338) of digestive system malignancies. Subgroup analyses showed that cancer type, sample size, study quality, and laboratory detection method did not alter the significant prognostic value of Oct4. Additionally, Oct4 expression was found to be an independent predictive factor for OS (HR=2.068, 95% CI: 1.633-2.619). No significant association was found between Oct4 and clinicopathological features of digestive system malignancies. This study provided evidence of Oct4 and/or its closely related homolog protein as a predictive factor for patients with digestive system cancers. More large-scale clinical studies on the prognostic value of Oct4 are warranted.

Association among Complement Factor H Autoantibodies, Deletions of CFHR, and the Risk of Atypical Hemolytic Uremic Syndrome.

To evaluate the association among complement factor H-related (CFHRs) gene deficiency, complement factor H (CFH) autoantibodies, and atypical hemolytic uremic syndrome (aHUS) susceptibility. EMBASE, PubMed, and the ISI Web of Science databases were searched for all eligible studies on the relationship among CFHRs deficiency, anti-FH autoantibodies, and aHUS risk. Eight case-control studies with 927 cases and 1182 controls were included in this study. CFHR1 deficiency was significantly associated with an increased risk of aHUS (odds ratio (OR) = 3.61, 95% confidence interval (95% CI), 1.96, 6.63, p < 0.001), while no association was demonstrated in individuals with only CFHR1/R3 deficiency (OR = 1.32, 95% CI, 0.50, 3.50, p = 0.56). Moreover, a more significant correlation was observed in people with both FH-anti autoantibodies and CFHR1 deficiency (OR = 11.75, 95% CI, 4.53, 30.44, p < 0.001) in contrast to those with only CFHR1 deficiency. In addition, the results were essentially consistent among subgroups stratified by study quality, ethnicity, and gene detection methods. The present meta-analysis indicated that CFHR1 deletion was significantly associated with the risk of aHUS, particularly when combined with anti-FH autoantibodies, indicating that potential interactions among CFHR1 deficiency and anti-FH autoantibodies might impact the risk of aHUS.

Assessment of seed quality using non-destructive measurement techniques: a review

AbstractSeed quality is of great importance in optimizing the cost of crop establishment. Rapid and non-destructive seed quality detection methods must therefore be developed for agriculture and the seed production industry. This review focuses primarily on non-destructive techniques, namely machine vision, spectroscopy, hyperspectral imaging, soft X-ray imaging, thermal imaging and electronic nose techniques, for assessing the quality of agricultural seeds. The fundamentals of these techniques are introduced. Seed quality, including chemical composition, variety identification and classification, insect damage and disease assessment as well as seed viability and germinability of various seeds are discussed. We conclude that non-destructive techniques are accurate detection methods with great potential for seed quality assessment.

Comparison and evaluation of railway subgrade quality detection methods

Subgrade is a critical component of railway systems since it provides a stable platform for the track substructure. The implementation of quality assurance methods is very important during the construction of a new railway subgrade and in monitoring the working performance of operating railways. There are several indicators available to measure the compaction and mechanical performance of a completed subgrade system, including compaction degree ( K), porosity ( n), modulus of subgrade reaction ( K30), basic bearing capacity ([Formula: see text]), strain moduli ( Ev), dynamic modulus of deformation ( Evd), and light dynamic penetration ( N10). The objective of this research was to compare and evaluate the frequently used engineering methods in order to select the important and reliable indicators of field parameters. Four soil models with different degree of compaction were considered in the common laboratory tests and detection methods in China to determine the construction quality. The implementation and test results of these methods were analyzed and compared. The study results indicate that K correlates with n linearly. There is also a good correlation among K30, Ev, and Evd. As a recommendation, K is considered as the controlling indicator for compaction performance, and Ev2 and Evd are considered as the controlling indicators for railway subgrade stiffness evaluation. The bearing capacity or strength indicators may be added to the quality detection work in heavy-haul railway construction.

A New Method for Appearance Quality Detection of Lens Module Based on Machine Vision

The lens module is widely used in many types of equipment, such as mobile phone, image recognition product, iPad, computer camera module, security product, car rear view module, industrial endoscope and medical endoscope product. In the process of appearance quality inspection of lens module, it is a problem that the inspection accuracy depends mainly on manual workers. To save the time and amount of this quality detection labor, it’s necessary for us to design the lens module’s appearance quality automatic inspection system. This paper proposes a subpixel-accurate edge detection algorithm based on wavelet transform with the cubic spline interpolation for the lens module’s appearance quality inspection system. Firstly, calculate the wavelet modulus maximum, and detect a pixel-accurate edge. Then apply the cubic spline interpolation to obtain subpixel-accurate edge at the side of the pixel-accurate edge. Finally, an industrial measurement method using this subpixel-accurate edge detection algorithm is studied, and some experiments are conducted to demonstrate the effectiveness of the lens module’s appearance quality inspection system. Comparing with the traditional methods, the lens module’s appearance quality inspection system has a good anti-noise performance and stable inspection accuracy.

Quality Detection System of Transparent Nonel Tubes Based on Image Processing

The traditional quality detection method for transparent Nonel tubes relies on human vision, which is inefficient and susceptible to subjective factors. Especially for Nonel tubes filled with the explosive, missed defects would lead to potential danger in blasting engineering. The factors affecting the quality of Nonel tubes mainly include the uniformity of explosive filling and the external diameter of Nonel tubes. The existing detection methods, such as Scalar method, Analysis method and infrared detection technology, suffer from the following drawbacks: low detection accuracy, low efficiency and limited detection items. A new quality detection system of Nonel tubes has been developed based on machine vision in order to overcome these drawbacks. Firstly the system architecture for quality detection is presented. Then the detection method of explosive dosage and the relevant criteria are proposed based on mapping relationship between the explosive dosage and the gray value in order to detect the excessive explosive faults, insufficient explosive faults and black spots. Finally an algorithm based on image processing is designed to measure the external diameter of Nonel tubes. The experiments and practical operations in several Nonel tube manufacturers have proved the defect recognition rate of proposed system can surpass 95% at the detection speed of 100m/min, and system performance can meet the quality detection requirements of Nonel tubes. Therefore this quality detection method can save human resources and ensure the quality of Nonel tubes.

磷酸咯萘啶胶囊的质量研究

疟疾(malaria)是由疟原虫经按蚊叮咬传播的污染病。临床上以周期性定时性发作的寒战、高热、出汗退热及贫血和脾大为特点。疟疾仍然是国际上十大传染病之一，据统计每年发病人数为3~5亿，死于疟疾者约百万人。咯萘啶是70年代初合成抗疟新药，临床上主要以四磷酸盐形式存在。本文确定磷酸咯萘啶胶囊新药处方、生产工艺、建立质量标准、中试生产并检测、进行加速和长期稳定性考察、研究药理毒理药效药代学等。采用正交试验法、流体力学、休止角研究和制药技术确定最佳处方及工艺，建立了HPLC和UV进行控制质量方法；在国家GMP车间内进行中试规模化生产并检测，采用市售包装于40℃相对湿度75% ± 5%及25℃相对湿度60% ± 5%条件下按新药稳定性指导原则分别取样，检测其外观、有关物质、溶出度及含量。处方合理，工艺简便可行。制定质量标准和检测方法，产品质量稳定有效期长为2年。解决了常规制剂的不足和生物利用度低的缺点，具有明显的经济效益和社会效益。 Malaria is an infectious disease which is spread by mosquitoes biting. Its features are shiver, high fever, sweating defervescence, anemia and splenomegalia. Malaria remains one of the ten largest infectious diseases globally. According to statistics, 300 - 500 million people are infected by malaria and 1 million people are died of malaria annually. The new anti-malarial medicine synthesized at the beginning of 1970s exists in the form of tetraphosphate clinically. This paper is to determine the prescription and production process of new drug—Malaridine Phosphate Capsule, establish quality standards, perform pilot scale production and detection, carry out acceleration and long-term stability investigation and research pharmacology, toxicology, pharmaceutical effect, pharmacokinetics, etc. It is to determine the optimum prescription and process by orthogonal test, hydromechanics, angle of repose research and pharmaceutical technology. It is to build quali-ty-control method by HPLC and UV; to perform pilot large-scale production and detection in national GMP workshop, detect the appearance, related substances, dissolution rate and content of commercially available packages by sampling in 40˚C, 40% relative humidity and 25% ± 5%, 60% ± 5% relative humidity respectively according to new drug stability guiding principle. Conclusion: 1) Reasonable prescription. 2) Simple and feasible process. 3) Quality standards and detection method have been established. 4) 2-year of stable-quality expiry date. 5) Obvious economical and social benefits instead of inadequate conventional formulations and bioavailability.

The Research of the Quality Testing Technology for Solder Paste Coating of the PCB Solder

This paper proposed a welding quality detection method with the computer vision technology for PCB of IC chip. This method is better than the normal one by human examines in the precision and in speed. It is suitable for welding quality automatic detection in the printing process of the SMT solder paste for IC chips mount on PCB board. This method is implemented in lab. Theoretical analysis and experimental results show that the accuracy of this method is high; the capture error is small and is easy to operate.

Dot Area Coverage Percentage Measurement Method for Plate Microscopic Image Based on Color Segmentation

On the basis of analysis the plate quality detection method in accordance with machine vision, Innovative dot area coverage percentage measurement method for plate microscopic image based on color segmentation was proposed in this paper. Plate microscopic image was transformed from RGB to HSI model. Then the plate microscopic image was segmented according to the saturation and the hue information. It was proved by experiments that the dot area coverage percentage measurement method based on color segmentation was provided with high measurement precision and good plate applicability.

A Simple and Convenient Method for Print Quality Detection by Varied Ink Thickness

The paper presents a new tuning method of print quality by varied ink thickness. To the best of our knowledge, ink thickness has not been previously employed as an important significance for the printing production guiding. In particular, the modified Neugebauer equation possesses notably elevated calculation accuracy bearing the compensation factors (nR=3.0, nG=2.75, nB=2.5), and then the reflectance of RGB can be computed using this equation. In this paper, the main density was defined by counting the color separation density. The model of equivalent ink thickness was established by calculating the integral density. The results show that the corrected sum of squares between the calculated and measured ink thickness are yellow=0.00232, magenta=0.02789, cyan=0.02108, black=0.05529, respectively. Based on the above elements, the control of print quality can be breezily realized by the convenient ink thickness.

EEMD-ApEn Applied in Power Quality Detection and Classification

Ensemble Empirical Mode DecompositionApproximate Entropy (EEMD-ApEn) is proposed in this paper, which is mainly analyzed the transient pulse and transient oscillation. In order to overcome the modal mixing problems by empirical mode decomposition (EMD), ensemble EMD (EEMD) is used to obtain intrinsic mode functions (IMFs). Then effective IMFs with physical meaning are reconstructed. Finally, the approximate entropy of IMFs and original signal are calculated which are used to be the input feature vectors of the SVM classifier. The stimulant results show that EEMD-ApEn has better performance in detection and classification of transient pulse, transient oscillation, their noisy signal and the composite disturbance signals. The novel method has many advantages, such as simple, strong anti-noise, required fewer features and so on. Therefore the EEMD-ApEn is an effective method for power quality detection and feature vectors extraction.

Construction Quality Control and Inspection Measures of Ultra Deep Jet Grouting Pile

High pressure jet grouting piles have a wide range of application in the engineering field. However, nowadays the increasing construction depth leads to an increasing difficulty of construction,which involves that the quality of construction is much more difficult to control. In this paper, some examples are given of the Luoyuan ultra-deep high pressure jet grouting piles. These examples are described with the used construction quality control methods and preventive recommendations for work construction quality detection methods. That is why this paper has an important guiding significance for similar projects.

Analysis and Solution of Fouling on Flow Path for Supercritical Steam Turbine

Insufficient output and rising pressure after governing stage of a 630 MW supercritical unit occurred only 18 month after the first outage. Though analysis based on measured parameters, fouling existed in governing stage and the first stage group. By virtue of linearization of formula and decoupling the impacts to thermal characteristic parameters, the quantified deposition degree was obtained. The fouling reason was determined by scale sample analysis, and the solution was proposed by quantitative calculation. The problem was successfully solved with boiler pickling, turbine cascade jet-beading and pulsing minimum oxygen to inhibit flow accelerated corrosion. A steam quality detection method was also proposed as the installation of measurement point after governing stage of supercritical unit. These treatments provided building and operation experience for 1000MW ultra-supercritical turbine and the same type of equipments.

Research on Solder Joints Quality Detection of Auto Parts Based on Biological Vision Feature

Detecting of the auto parts solder joints quality is always a technological difficulty in the production line, the key point is how to exact the parts feature which is tested. New quality detection method for the auto parts soldered joints is presented based on biology vision feature. First the Gabor filter banks which have the emulation of biological vision is used to filter the detected image with eight different directions. Then the biggest powers of all pixel points are chosen to be the solder joints feature and classified by support vector machine (SVM). The experimental results show that the algorithm has higher accuracy as an effective quality detection method. It can be a useful reference to the auto parts solder joints quality testing of engineering application.

Research on The Pharmacology Quality Detection Method Based on The DNA Fingerprint

Research on The Pharmacology Quality Detection Method Based on The DNA Fingerprint

A Novel Cognitive Frequency Hopping Mechanism for Bluetooth Network

Bluetooth is a short-range wireless technology that operates in the 2.4GHz unlicensed ISM band, so it will inevitably encounter the interference from other wireless systems and other Bluetooth piconets. Because of the flexible, efficient and reliable spectrum access by adapting the radio’s operating characteristics to the real-time conditions of the environment, cognitive radio technology is apply in Bluetooth network. In this paper, a novel cognitive frequency hopping (CFH) scheme based on channel quality detection is proposed. The coexistence mechanism of Bluetooth network and link quality detection method is described and discussed. Simulation results shown the performance of the proposed CFH system is improved.

Recent developments in applications of MRI techniques for foods and agricultural produce—an overview

For the detection of defects, evaluation of internal quality and analysis of internal structures in food and biological materials, there is a number of image acquisition techniques available so far. Among them, MRI has the advantage of allowing a variety of measurements to be made that not only contribute to the evaluation of maturity and quality parameters in fruits and vegetables and other food materials but also improve the understanding of underlying physiological processes. So, the ability of MRI to function in a completely non-destructive and to encode molecular dynamics through different contrast mechanism has encouraged developments of many applications in various fields. An overview of MRI as non-destructive detection in quality of food and agricultural produce and its application in postharvest sorting and processing have been presented in this paper. This paper elaborated principle of MRI, function of its components, quality detection methods, and discussed recent research and applications. Since, no paper yet published on MRI, covered so wide applications as included in this work, its importance being increased more.

Study on Transient Power Quality Disturbance and Detection Method

Nowadays, in electrical energy, transient power quality disturbance issue is one of the “stubborn problems” that plagued the power sector and users. This paper focuses on analyzing the causes and effects of transient power quality disturbance, sequentially finds out scientific testing methods and sums up its control methods.