2016 International Conference on Emerging Technologies (ICET)最新文献

A comparative analysis of classical and one class SVM classifiers for machine fault detection using vibration signals 基于振动信号的机械故障检测中经典SVM分类器与单类SVM分类器的比较分析

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813262

Rummaan Bin Amir, S. T. Gul, Abdul Qayyum khan

{"title":"A comparative analysis of classical and one class SVM classifiers for machine fault detection using vibration signals","authors":"Rummaan Bin Amir, S. T. Gul, Abdul Qayyum khan","doi":"10.1109/ICET.2016.7813262","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813262","url":null,"abstract":"Early and efficient fault detection is very important in today's complex and sophisticated automated industry. For fault detection, many techniques have been employed among which the support vector machines (SVM) is a popular one owing to its many attractive features like fast classification, good handling capability of non-linear behavior of the data, and providing a global optimum for classification. This article presents the use of SVM and one of its variants i.e. one class SVM for fault detection in a rotation based machinery. The rotating machines give vibrational signals that can be analyzed to monitor the machines' health. The fundamental idea and implementation technique of classical SVM and one-class SVM are discussed. The vibration signals are obtained followed by feature extraction in time and frequency domain and on this basis, fault classification is performed. The performance of the said classifiers is compared for the Intelligence Maintenance Systems (IMS) bearing vibration data with the introduction of step and incipient faults respectively. Presence of incipient fault makes the classification very difficult. Afterwards, the classifier failure condition is calculated and the decision value plots are explicated. Classification results obtained using one class SVM are superior than classical SVM as advocated by our simulations.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123576774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Safety assessment of severe accident mitigating system “Passive Residual Heat Removal System of secondary side” in K-2/K-3 NPP K-2/K-3核电站严重事故缓解系统“二次侧被动余热排出系统”的安全性评价

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813220

Muhammad Abu Bakar, M. S. Sarwar

{"title":"Safety assessment of severe accident mitigating system “Passive Residual Heat Removal System of secondary side” in K-2/K-3 NPP","authors":"Muhammad Abu Bakar, M. S. Sarwar","doi":"10.1109/ICET.2016.7813220","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813220","url":null,"abstract":"The presented analysis carried out for the safety assessment of the Passive Residual Heat Removal System of secondary side (PRS), one of the Severe Accident Mitigating System of K-2/K-3 Nuclear power plants. Preliminary analysis of the PRS is carried out using computer code MELCOR, which is a thermal hydraulic code that models the progression of severe accidents in light water nuclear power plants. The system was analyzed under SBO without the main feed-water, auxiliary feed-water and the safety injection systems. The system is activated after the SBO and failure of auxiliary feed-water pumps and the turbine driven pumps by opening the isolation valves and closing the main steam isolation valve to avoid the steam loss. Three trains of PRS are modeled and connected with secondary side of each Steam Generators along with a make-up tank, each trains is connected with the same cooling tower (Heat Sink). The system can maintain the reactor in safe condition for 72 hours, if it is actuated before the large loss of primary coolant inventory or fuel damage in the core. The three independent trains for each steam generator are consider for heat removal of secondary side. If one of the train is considered unavailable that will lead to fuel failure and RPV failure within 72 hours. Although the failure time increases in comparison to the SBO without the PRS. The reactor remains in safe conditions if the PRS system operate at or above 80% of its design thermal load removing capability. The safety assessment was made with and without using this severe accident countermeasure introduced in K-2/K-3 NPP.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115587236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Plasmonic perfect absorber for solar cell applications 用于太阳能电池的等离子体吸收体

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813268

H. Ullah, Adnan Daud Khan, Amjad Ullah, I. Ullah, M. Noman

引用次数: 10

Estimation of Axial and radial in-core power peaking in PWR plant using artificial neural network technique 利用人工神经网络技术估计压水堆堆芯轴向和径向功率峰值

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813216

A. Saeed, M. Abu Bakr, Ahsan Ullah Saqib

{"title":"Estimation of Axial and radial in-core power peaking in PWR plant using artificial neural network technique","authors":"A. Saeed, M. Abu Bakr, Ahsan Ullah Saqib","doi":"10.1109/ICET.2016.7813216","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813216","url":null,"abstract":"Axial and radial power peaking factors (Fq, Fah) were estimated in Chashma Nuclear Power Plant Unit-1 (C-1) core using artificial Neural Network Technique (ANNT). Position of T4 control bank, axial offsets in four quadrants and quadrant power tilt ratios were taken as input variables in neural network designing. Power Peaking Factors (PPF) were calculated using computer codes FCXS, TWODFD and 3D-NB-2P for 52 core critical conditions made during C-1 fuel cycle-7. A multilayered Perceptron (MLP) neural network was trained by applying a set of measured input parameters and calculated output data for each core state. Training average relative errors between targets and ANNT estimated peaking factors were ranged from 0.018% to 0.054%, implies that ANNT introduces negligible error during training and exactly map the values. For validation process, PPF were estimated using ANNT for 36 cases devised at the time when power distribution measurement test and in-core/ex-core detectors calibration test were performed during fuel cycle. ANNT Results were compared with C-1 peaking factors measured with in-core flux mapping system and INCOPW computer code. Results showed that ANNT estimated PPF deviated from C-1 measured values within ±3%. The results of this study indicate that ANNT is an alternate technique for PPF measurement using only ex-core detectors signals data and independent of in-core flux mapping system. It might increase the time interval between in-core flux maps to 180 Effective Full Power Days (EFPDs) and reduce usage frequency of in-core flux mapping system during fuel cycle as present in Advanced Countries Nuclear Power Plants.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130974829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Higher order sliding mode based control scheme for air path of diesel engine 基于高阶滑模的柴油机风道控制方案

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813217

G. Murtaza, Y. Butt, A. I. Bhatti

引用次数: 7

Dose perturbations at heterogeneous interfaces in radiotherapy — An EGSnrc based Monte Carlo investigation 放射治疗中异质界面的剂量摄动-基于EGSnrc的蒙特卡罗研究

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813235

M. Ahmad, Shahbaz Ahmed, M. Kakakhel, Shakeel ur Rehman, S. Mirza

引用次数: 0

Automatic breast segmentation and cancer detection via SVM in mammograms 基于支持向量机的乳房图像自动分割与肿瘤检测

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813261

A. Qayyum, A. Basit

引用次数: 32

Stability derivatives and longitudinal dynamic stability analysis of a missile model 导弹模型稳定性导数与纵向动稳定性分析

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813252

Anam Riaz, Syed Muhammad Shaheer, Syed Irtiza Ali Shah, Sidra Mahmood

{"title":"Stability derivatives and longitudinal dynamic stability analysis of a missile model","authors":"Anam Riaz, Syed Muhammad Shaheer, Syed Irtiza Ali Shah, Sidra Mahmood","doi":"10.1109/ICET.2016.7813252","DOIUrl":"https://doi.org/10.1109/ICET.2016.7813252","url":null,"abstract":"In this work, the stability derivatives of a missile model have been calculated and the response of a constrained missile model was examined. Behaviour of any airborne body after getting disturbed from the equilibrium position is of paramount importance for its stability analysis. The model of missile has been made using computer software. Stability derivatives of a missile have been calculated using computational fluid dynamics. To comprehend dynamic stability, analytical solution has been proposed using Newton's Second law and Small Disturbance Theory, assuming pure pitching motion. To visualize the behaviour of missile model, graphical solution has been taken out using computer code. For having an idea how it will work in real world, a cardboard model of the missile is made and has been analysed for different applied angles of attacks. At the end the analytical and experimental results have been compared. Major contributions of this work are calculation of a method to plot time history of angle of attack of a missile after some perturbation and conduction of experiment for purpose of comparison. In future, results can be validated for wind tunnel model which will be more accurate.","PeriodicalId":285090,"journal":{"name":"2016 International Conference on Emerging Technologies (ICET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116858706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A single parameter self-tune fractional order PIλ controller for second order uncertain dynamical system 二阶不确定动力系统的单参数自整定分数阶PIλ控制器

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813211

Muhammad Farhan, N. Ullah, Nisar Ahmed

引用次数: 0

An energy efficient clustering technique in M2M based on affinity propagation 基于亲和传播的M2M节能聚类技术

2016 International Conference on Emerging Technologies (ICET) Pub Date : 2016-10-01 DOI: 10.1109/ICET.2016.7813207

Hamayoun Shahwani, S. Muneer, Jitae Shin

引用次数: 1