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Letteratura scientifica selezionata sul tema "Phasor estimation"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 7 settembre 2023

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Articoli di riviste sul tema "Phasor estimation"

Zhao, Dongfang, Fuping Wang, Shisong Li, Wei Zhao, Lei Chen, Songling Huang, Shen Wang, and Haitao Li. "An Optimization of Least-Square Harmonic Phasor Estimators in Presence of Multi-Interference and Harmonic Frequency Variance." Energies 16, no. 8 (April 12, 2023): 3397. http://dx.doi.org/10.3390/en16083397.

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The wide application of power electronic devices brings an increasing amount of undesired harmonic and interharmonic tones, and accurate harmonic phasor estimation under a complex signal input is an important task for smart grid applications. In this paper, an optimization of least-square dynamic harmonic phasor estimators, considering multi-interference and harmonic frequency variance, is proposed. A comprehensive error index (CEI) composed of the fundamental-leakage-led harmonic amplitude estimation error, harmonic mutual interference, out-of-band interference, and harmonic frequency deviati

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Chukkaluru, Sai Lakshmi, and Shaik Affijulla. "Review of Discrete Fourier Transform During Dynamic Phasor Estimation and the Design of Synchrophasor Units." ECTI Transactions on Electrical Engineering, Electronics, and Communications 21, no. 1 (February 28, 2023): 248548. http://dx.doi.org/10.37936/ecti-eec.2023211.248548.

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In a large and complex interconnected power system, the measurement of synchronized bus voltage and line current plays a vital role in the monitoring and precise control of various sophisticated electrical equipment for secure and reliable operation. Phasor measurement units (PMUs) are incorporated into a wide area of the power system to extract the different signals of synchronized phasors. In this paper, the capacity of the PMU phasor estimation algorithm is explored based on discrete Fourier transform (DFT) under different sampling frequency rates during various dynamic scenarios in accorda

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Guo, Yufu, Hang Xu, and Aobing Chi. "Broadband Dynamic Phasor Measurement Method for Harmonic Detection." Electronics 11, no. 11 (May 24, 2022): 1667. http://dx.doi.org/10.3390/electronics11111667.

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A large number of nonlinear loads and distributed energy sources are connected to the power system, leading to the generation of broadband dynamic signals including inter-harmonics and decaying DC (DDC) components. This causes deterioration of power quality and errors during power measurement. Therefore, effective phasor estimation methods are needed for accurate monitoring and effective analysis of harmonics and interharmonic phasors. For this purpose, an algorithm is proposed in this paper that is implemented in two parts. The first part is based on the least square method in order to obtain

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Giotopoulos, Vasilis, and Georgios Korres. "Implementation of Phasor Measurement Unit Based on Phase-Locked Loop Techniques: A Comprehensive Review." Energies 16, no. 14 (July 18, 2023): 5465. http://dx.doi.org/10.3390/en16145465.

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The dynamic monitoring, control, and protection of modern power systems in real time require time-stamped electrical measurements to accurately estimate the bus voltage phasors using the state estimation function under normal and abnormal conditions. These measurements can be acquired by time-synchronized devices, known as phasor measurement units (PMUs). PMUs can measure bus voltage and branch current phasors of a three-phase network, as well as the frequency and the rate of change of frequency (ROCOF), with high speed, accuracy and time stamping provided by global positioning system (GPS) at

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Parthasarathy, Hari Krishna Achuthan, Madhusudan Saranathan, Adhitya Ravi, M. C. Lavanya, and V. Rajini. "Comparative Analysis of Phasor Estimation Techniques for PMU Applications." Journal of Physics: Conference Series 2325, no. 1 (August 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2325/1/012010.

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Abstract Phasor Measurement Units (PMU) are valuable sources of data which increase the visibility into several fields of application such as power production, transmission and distribution. With the initial goal of obtaining phasor values at fixed points in the network and syncing it to a standard time frame, the technology has morphed into an all-encompassing unit, which has its uses in the field of protection, control and automation. With the application of these units becoming a standard benchmark, the improvement in the current available units is a huge requirement. This study presents a

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Liu, Min. "Distribution System State Estimation with Phasor Measurement Units." Applied Mechanics and Materials 668-669 (October 2014): 687–90. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.687.

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With phasor measurement units (PMU) become available in the distribution system; the estimation accuracy of the distribution system state estimation (DSSE) is expected to be improved. Based on the weighted least square (WLS) approach, this paper proposed a new state estimator which takes into account the PMU measurements including voltage magnitude and phasor angle, and load current magnitude and phasor angle. Simulation results indicate that the estimation accuracy is obvious improve by adding PMU measurements to the DSSE. Furthermore, the estimation accuracy changes with the installation sit

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Xiao, Xianyong, Runze Zhou, Xiaoyang Ma, and Rui Xu. "Harmonic Phasor Estimation Method Considering Dense Interharmonic Interference." Entropy 25, no. 2 (January 27, 2023): 236. http://dx.doi.org/10.3390/e25020236.

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Due to the limitation of frequency resolution and the spectrum leakage caused by signal windowing, the spectrums of harmonic and interharmonic components with close frequencies overlap each other. When the dense interharmonic (DI) components are close to the harmonic spectrum peaks, the harmonic phasor estimation accuracy is seriously reduced. To address this problem, a harmonic phasor estimation method considering DI interference is proposed in this paper. Firstly, based on the spectral characteristics of the dense frequency signal, the phase and amplitude characteristics are used to determin

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Mejia-Barron, Arturo, David Granados-Lieberman, Jose Razo-Hernandez, Juan Amezquita-Sanchez, and Martin Valtierra-Rodriguez. "Harmonic PMU Algorithm Based on Complex Filters and Instantaneous Single-Sideband Modulation." Electronics 8, no. 2 (January 29, 2019): 135. http://dx.doi.org/10.3390/electronics8020135.

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Phasor measurement units (PMUs) have become powerful monitoring tools for many applications in smart grids. In order to address the different issues related to harmonics in power systems, the fundamental phasor estimator in a PMU has been extended to the harmonic phasor estimator by several researchers around the world. Yet, the development of harmonic phasor estimators is a challenge because they have to consider time-varying frequencies since the frequency deviation in the harmonic components is proportional to the harmonic order in a dynamic way. In this work, a new algorithm for harmonic p

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delaOSerna, J. A. "Phasor Estimation From Phasorlets." IEEE Transactions on Instrumentation and Measurement 54, no. 1 (February 2005): 134–43. http://dx.doi.org/10.1109/tim.2004.838914.

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Chi, Aobing, Chengbi Zeng, Yufu Guo, and Hong Miao. "A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation." Entropy 24, no. 7 (July 17, 2022): 988. http://dx.doi.org/10.3390/e24070988.

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In order to overcome the spectral interference of the conventional Fourier transform in the International Electrotechnical Commission framework, this paper introduces a Bregman-split-based compressive sensing (BSCS) method to estimate the Taylor–Fourier coefficients in a multi-frequency dynamic phasor model. Considering the DDC component estimation, this paper transforms the phasor problem into a compressive sensing model based on the regularity and sparsity of the dynamic harmonic signal distribution. It then derives an optimized hybrid regularization algorithm with the Bregman split method t

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Tesi sul tema "Phasor estimation"

Jones, Kevin David. "Three-Phase Linear State Estimation with Phasor Measurements." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32119.

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Given the ability of the Phasor Measurement Unit (PMU) to directly measure the system state and the increasing implementation of PMUs across the electric power industry, a natural expansion of state estimation techniques would be one that employed the exclusive use of PMU data. Dominion Virginia Power and the Department of Energy (DOE) are sponsoring a research project which aims to implement a three phase linear tracking state estimator on Dominionâ s 500kV network that would use only PMU measurements to compute the system state. This thesis represents a portion of the work completed during

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Chen, Jian. "Accurate frequency estimation with phasor angles." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-12042009-020203/.

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Chen, Jiaxiong. "Power System State Estimation Using Phasor Measurement Units." UKnowledge, 2013. http://uknowledge.uky.edu/ece_etds/35.

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State estimation is widely used as a tool to evaluate the real time power system prevailing conditions. State estimation algorithms could suffer divergence under stressed system conditions. This dissertation first investigates impacts of variations of load levels and topology errors on the convergence property of the commonly used weighted least square (WLS) state estimator. The influence of topology errors on the condition number of the gain matrix in the state estimator is also analyzed. The minimum singular value of gain matrix is proposed to measure the distance between the operating point

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Zhou, Ming. "Advanced System Monitoring with Phasor Measurements." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/27813.

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Phasor Measurement Units (PMUs) are widely acknowledged as one of the most promising developments in the field of real-time monitoring of power systems. By aligning the time stamps of voltage and current phasor measurements that are consistent with Coordinated Universal Time (UTC), a coherent picture of the power system state can be achieved through either direct measurements or simple linear calculations. With the growing number of PMUs planned for installation in the near future, both utilities and research institutions are looking for the best solutions to the placement of units as well as

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Khan, Muhammad Ayaz. "State Estimation and Voltage Phasor Measurements in Distribution Networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.

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The thesis faces the problem of the use of phasor measurement units (PMU) for the state estimation in distribution networks, and in particular the problem of a suitable phasor estimation in different buses of a distribution network in absence of proper time synchronization with the universal time reference. In particular, an approach recently proposed by Mingotti et al. to obtain an equivalent synchronization, starting from asynchronous measurement has been presented and tested. This method assumes the availability of a distributed measurement system where each remote unit is a power meter. Th

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Hurtgen, Michaël. "Wide-area state estimation using synchronized phasor measurement units." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209924.

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State estimation is an important tool for power system monitoring and the present study involves integrating phasor measurement units in the state estimation process. Based on measurements taken throughout the network, the role of a state estimator is to estimate the state variables of the power system while checking that these estimates are consistent with the measurement set. In the case of power system state estimation, the state variables are the voltage phasors at each network bus.\\The classical state estimator currently used is based on SCADA (Supervisory Control and Data Acquisit

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Yang, Xuan. "Distributed state estimation with the measurements of Phasor Measurement Units." Thesis, University of Birmingham, 2013. http://etheses.bham.ac.uk//id/eprint/4479/.

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The world-wide application of Phasor Measurement Units (PMUs) brings great benefit to power system state estimation. The synchronised measurements from PMUs can increase estimation accuracy, synchronise states among different systems, and provide greater applicability of state estimation in the transient condition. However, the integration of synchronised measurements with state estimation can introduce efficiency problems due to the substantial burden of data. The research is divided into two parts: finding a solution to cope with the computational efficiency problem and developing a transien

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Nuqui, Reynaldo Francisco. "State Estimation and Voltage Security Monitoring Using Synchronized Phasor Measurements." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28266.

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The phasor measurement unit (PMU) is considered to be one of the most important measuring devices in the future of power systems. The distinction comes from its unique ability to provide synchronized phasor measurements of voltages and currents from widely dispersed locations in an electric power grid. The commercialization of the global positioning satellite (GPS) with accuracy of timing pulses in the order of 1 microsecond made possible the commercial production of phasor measurement units. Simulations and field experiences suggest that PMUs can revolutionize the way power systems are moni

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Wehbe, Yasser. "Model Estimation of Electric Power Systems by Phasor Measurement Units Data." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4419.

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This dissertation tackles the online estimation of synchronous machines' power subsystems electromechanical models using the output based Phasor Measurements Units (PMUs) data while disregarding any inside data. The research develops state space models and estimates their parameters and states. The research tests the developed algorithms against models of a higher and of the same complexity as the estimated models. The dissertation explores two estimations approaches using the PMUs data: i)non-linear Kalman ﬁlters namely the Extended Kalman Filter (EKF) and then the Unscented Kalman Filter (UK

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Tuku, Woldu. "Distributed state estimation using phasor measurement units (PMUs)for a system snapshot." Kansas State University, 2012. http://hdl.handle.net/2097/14129.

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Master of Science Department of Electrical and Computer Engineering Noel N. Schulz As the size of electric power systems are increasing, the techniques to protect, monitor and control them are becoming more sophisticated. Government, utilities and various organizations are striving to have a more reliable power grid. Various research projects are working to minimize risks on the grid. One of the goals of this research is to discuss a robust and accurate state estimation (SE) of the power grid. Utilities are encouraging teams to change the conventional way of state estimation to real t

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Libri sul tema "Phasor estimation"

Singh, Hema, R. Chandini, and Rakesh Mohan Jha. RCS Estimation of Linear and Planar Dipole Phased Arrays: Approximate Model. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-754-3.

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Time-frequency analysis and synthesis of linear signal spaces: Time-frequency filters, signal detection and estimation, and range-Doppler estimation. Boston: Kluwer Academic Publishers, 1998.

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Manning, Robert Michael. Real-time in situ signal-to-noise ratio estimation for the assessment of operational communications links. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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Lundin, Fredrik. Case studies in omniparametric simulation. Go̊teborg, Sweden: Dept. of Mathematical Sciences, Chalmers University of Technology and Göteborg University, 2006.

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Laari, Arto. Gas-liquid mass transfer in bubbly flow: Estimation of mass transfer, bubble size and reactor performance in various applications. Lappeenranta: Lappeenranta University of Technology, 2005.

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R, Kumar. A novel multistage estimation of the signal parameters of a possibly data-modulated sinusoid under very high dynamics. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.

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Satdarova, Faina. DIFFRACTION ANALYSIS OF DEFORMED METALS: Theory, Methods, Programs. xxu: Academus Publishing, 2019. http://dx.doi.org/10.31519/monography_1598.

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General analysis of the distribution of crystals orientation and dislocation density in the polycrystalline system is presented.  Recovered information in diffraction of X-rays adopting is new to structure states of polycrystal. Shear phase transformations in metals — at the macroscopic and microscopic levels — become a clear process.  Visualizing the advances is produced by program included in package delivered. Mathematical models developing, experimental design, optimal statistical estimation, simulation the system under study and evolution process on loading serves as instrumen

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Capitoli di libri sul tema "Phasor estimation"

Phadke, A. G., and J. S. Thorp. "Phasor Estimation of Nominal Frequency Inputs." In Power Electronics and Power Systems, 29–48. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76537-2_2.

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Phadke, Arun G., and James S. Thorp. "Phasor Estimation of Nominal Frequency Inputs." In Power Electronics and Power Systems, 29–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50584-8_2.

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Phadke, A. G., and J. S. Thorp. "Phasor Estimation at Off-Nominal Frequency Inputs." In Power Electronics and Power Systems, 49–79. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76537-2_3.

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Phadke, Arun G., and James S. Thorp. "Phasor Estimation at Off-Nominal Frequency Inputs." In Power Electronics and Power Systems, 47–72. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50584-8_3.

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Jordaan, Jaco, Anton van Wyk, and Ben van Wyk. "Nonparametric Time-Varying Phasor Estimation Using Neural Networks." In Neural Information Processing, 693–702. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69162-4_72.

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Shankar, Shiv, Vishal Rathore, K. B. Yadav, and Alok Priyadarshi. "State Estimation of Power Network Using Phasor Measurement." In Lecture Notes in Electrical Engineering, 63–74. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0193-5_6.

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Thiab, Omar Sami, Łukasz Nogal, and Ryszard Kowalik. "Dynamic Power Systems Phasor Estimation Using Kalman Filter Algorithms." In Communications in Computer and Information Science, 110–22. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38752-5_9.

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Aarthi, V., Ram Krishan, and Himanshu Grover. "State Estimation in Active Power Distribution Systems Using Phasor Measurement Units." In Lecture Notes in Electrical Engineering, 123–39. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0969-8_14.

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Alam, Mehebub, Shubhrajyoti Kundu, Siddhartha Sankar Thakur, and Sumit Banerjee. "Transmission Line Outage Estimation Through Bus Current Comparison Utilizing Current Phasor of PMU." In Lecture Notes in Electrical Engineering, 377–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7994-3_35.

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Saha, Soumili, Prateek Bose, and Sarita Nanda. "Phasor Estimation of Power Signals in a Smart Grid Environment Using Sigmoid Adaptive Filter." In Lecture Notes in Electrical Engineering, 487–93. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0749-3_36.

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Atti di convegni sul tema "Phasor estimation"

Bhonsle, J. S., and A. S. Junghare. "Phasor assisted state estimation." In 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015. http://dx.doi.org/10.1109/ic4.2015.7375587.

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Paternina, M. R. A., A. Zamora, M. Ernesto Vazquez, and Juan M. Ramirez. "Phasor estimation under transient conditions." In 2015 IEEE Eindhoven PowerTech. IEEE, 2015. http://dx.doi.org/10.1109/ptc.2015.7232242.

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Daoud, George, Hany Selim, and Mohamed M. AbdelRaheem. "Micro Phasor Measurement Unit Phasor Estimation by off-Nominal Frequency." In 2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE). IEEE, 2018. http://dx.doi.org/10.1109/sege.2018.8499506.

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Jones, Kevin D., James S. Thorp, and R. Matthew Gardner. "Three-phase linear state estimation using Phasor Measurements." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672516.

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Abur, Ali, and Floyd Galvan. "Synchro-Phasor Assisted State Estimation (SPASE)." In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE, 2012. http://dx.doi.org/10.1109/isgt.2012.6175559.

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Patel, Tapas Kumar, Sarat Chandra Swain, Prafulla Chandra Panda, and Subodh Kumar Mohanty. "Accurate phasor estimation during power swing." In 2017 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2017. http://dx.doi.org/10.1109/ipact.2017.8244911.

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Sodhi, Ranjana, S. C. Srivastava, and S. N. Singh. "Teager energy based dynamic phasor estimation." In 2012 Annual IEEE India Conference (INDICON). IEEE, 2012. http://dx.doi.org/10.1109/indcon.2012.6420792.

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Kovacic, Marko, Marko Jurcevic, Roman Malaric, and Antonijo Kunac. "A Review of Phasor Estimation Algorithms." In 2020 3rd International Colloquium on Intelligent Grid Metrology (SMAGRIMET). IEEE, 2020. http://dx.doi.org/10.23919/smagrimet48809.2020.9264012.

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Rao, J. Ganeswara, and Ashok Kumar Pradhan. "Accurate phasor estimation during power swing." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7741201.

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Vats, Mansi, and Sangeeta Kamboj. "Application of phasor & frequency estimation techniques in phasor measurement unit." In 2016 7th India International Conference on Power Electronics (IICPE). IEEE, 2016. http://dx.doi.org/10.1109/iicpe.2016.8079490.

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Rapporti di organizzazioni sul tema "Phasor estimation"

Choquette, Gary, and Nolan Choquette. PR-000-16600-R01 Correlative Estimation of Hydrocarbon Dewpoint. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2019. http://dx.doi.org/10.55274/r0011618.

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Simplified methods to estimate the hydrocarbon cricondentherm hydrocarbon dewpoint temperature and the associated phase curve are desirable in cases with limited processor power/memory or in cases where full gas composition analysis information is not available. This study developed and evaluated several methods to provide reasonable estimates of hydrocarbon dew-point temperature and the phase curve using simplified correlation methods.

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Peters, Keith, and Steven Kay. Unbiased Estimation of the Phase of a Sinusoid. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada525814.

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Cumming, I. G., F. Wong, and R. K. Hawkins. RADARSAT Doppler Centroid Estimation Using Phase-Based Estimators. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/219627.

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Blampied, Nigel, Tariq Shehab, Elhami Nasr, and Laxmi Sindhu Samudrala. Preconstruction Support Cost Hours Estimating on Caltrans Pavement Rehabilitation Projects. Mineta Transportation Institute, May 2023. http://dx.doi.org/10.31979/mti.2023.2148.

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Because the construction phase accounts for the majority of project costs for pavement rehabilitation projects, most research on infrastructure project cost estimating focuses on that phase, rather than on the preconstruction phases. Nevertheless, costs incurred prior to construction, referred to in this report as "preconstruction costs" are significant and worthy of consideration (See Section 2.1 of the report for a more detailed and precise definition of preconstruction). In the 20202021 fiscal year, for instance, the California Department of Transportation (Caltrans) spent more than $169 mi

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Teti, Joseph G., and Jr. Basic Concepts of Spectral Estimation Using a Uniform Linear Phased Array. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada325809.

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Neuert, Mark, and Smitha Koduru. PR-244-173856-R01 In-line Inspection Crack Tool Reliability and Performance Evaluation. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2019. http://dx.doi.org/10.55274/r0011599.

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The ability for operators to make operational and maintenance decisions based on in-line inspection (ILI) data depends on the performance of ILI tools with respect to sizing and detection of crack and stress corrosion cracking (SCC) features. A series of previous Pipeline Research Council International, Inc. (PRCI) projects created a database of ILI tool and pipe excavation data that can be used to evaluate the detection and sizing capabilities of ultrasonic (UT) (NDE-4-E Phase 1, PR-244-133731) and electromagnetic acoustic (EMAT) (NDE-4-E Phase 2, PR-244-153719) ILI technologies. This current

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Bajwa, Abdullah, Tim Kroeger, and Timothy Jacobs. PR-457-17201-R04 Residual Gas Fraction Estimation Based on Measured Engine Parameters - Phase IV. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2021. http://dx.doi.org/10.55274/r0012176.

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Based on experimental characterization of the scavenging behavior of a cross-scavenged, piston-aspirated, two-stroke, natural gas engine in phase III of the current project, a computationally inexpensive simple scavenging model was improved in this phase. Experimental results using fast nondispersive infrared (NDIR) CO2 measurements from the cylinder and the exhaust, as well as experiments using unburned fuel pre-mixed in the scavenging chamber as a tracer for short-circuiting during scavenging, were used in this phase to validate the improved model. The model represents the fundamental phenom

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Maes, Marc. PR-328-133600-R02 Probabilistic Corrosion Growth Models and ILI-Based Estimation Procedures - Phase II. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2015. http://dx.doi.org/10.55274/r0010842.

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The overall objective of Phase II covered by the present report, has been to implement the preferred Phase I stochastic metal loss analysis model in an effective self-standing Excel tool for matched repeat ILI data: the Hierarchical Stochastic Corrosion Growth Model (HSCGM). This analysis tool can deal with up to 5 repeat inspections and up to 1,000 (hierarchical) defects. It is a deliverable of this Project and it has been satisfactory verified and tested; its main mission is to allow flawless experimentation with the practical use of consistent stochastic metal loss processes in the context

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Bajwa, Abdullah, and Timothy Jacobs. PR-457-17201-R01 Residual Gas Fraction Estimation Based on Measured In-Cylinder Pressure. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2018. http://dx.doi.org/10.55274/r0011519.

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Developing a reliable means of predicting and controlling engine operation at various operating conditions may be a reasonable pathway for meeting increasingly stringent engine emission regulations. In order to do so, estimates of the mixture composition at the end of the gas exchange process (i.e. at exhaust port closure, or EPC) are helpful for having accurate models of engine combustion. A substantial fraction of the trapped charge mixture is composed of residual gases from previous cycles. This fraction, the trapped residual fraction, changes combustion characteristics of the trapped mixtu

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Borden, Brett, and R. J. Dinger. Radar Inverse Scattering Using Statistical Estimation of the Echo Phase- Front Derivatives. Fort Belvoir, VA: Defense Technical Information Center, November 1986. http://dx.doi.org/10.21236/ada176598.

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