Relevant bibliographies by topics / Simulation of fault signals

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Simulation of fault signals'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Simulation of fault signals"

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Liu, Xiaoyang, Haizhou Huang, and Jiawei Xiang. "A Personalized Diagnosis Method to Detect Faults in a Bearing Based on Acceleration Sensors and an FEM Simulation Driving Support Vector Machine." Sensors 20, no. 2 (2020): 420. http://dx.doi.org/10.3390/s20020420.

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Classification of faults in mechanical components using machine learning is a hot topic in the field of science and engineering. Generally, every real-world running mechanical system exhibits personalized vibration behaviors that can be measured with acceleration sensors. However, faulty samples of such systems are difficult to obtain. Therefore, machine learning methods, such as support vector machine (SVM), neural network (NNs), etc., fail to obtain agreeable fault detection results through smart sensors. A personalized diagnosis fault method is proposed to activate the smart sensor networks
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Huo, Linsheng, Gangbing Song, Satish Nagarajaiah, and Hongnan Li. "Semi-active vibration suppression of a space truss structure using a fault tolerant controller." Journal of Vibration and Control 18, no. 10 (2011): 1436–53. http://dx.doi.org/10.1177/1077546311421514.

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In recent years, magneto-rheological (MR) dampers have been used to control the response of structures. This paper presents the design and application of an H∞ fault detection and isolation (FDI) filter and fault tolerant controller (FTC) for truss vibration control systems using MR dampers. A linear matrix inequality formulation is used to design a full order robust H∞ filter to estimate faulty input signals. A fault tolerant H∞ controller is designed for the combined system of plant and filter, minimizing the control objective selected in the presence of disturbances and faults. A truss stru
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Zhang, Changfan, Huijun Liao, Xiangfei Li, Jian Sun, and Jing He. "Fault Reconstruction Based on Sliding Mode Observer for Current Sensors of PMSM." Journal of Sensors 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/9307560.

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This paper deals with a method of phase current sensor fault reconstruction for permanent magnet synchronous motor (PMSM) drives. A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults. This method uses the PMSM two-phase stationary reference frame fault model and a sliding mode variable structure observer to reconstruct fault signals. A logic algorithm is built to isolate and identify the faulty sensor for a stator phase current fault after reconstructing the two-phase stationary reference frame fault signals, which all
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Fei, Cheng-Wei, Yat-Sze Choy, Guang-Chen Bai, and Wen-Zhong Tang. "Multi-feature entropy distance approach with vibration and acoustic emission signals for process feature recognition of rolling element bearing faults." Structural Health Monitoring 17, no. 2 (2017): 156–68. http://dx.doi.org/10.1177/1475921716687167.

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To accurately reveal rolling bearing operating status, multi-feature entropy distance method was proposed for the process character analysis and diagnosis of rolling bearing faults by the integration of four information entropies in time domain, frequency domain and time–frequency domain and two kinds of signals including vibration signals and acoustic emission signals. The multi-feature entropy distance method was investigated and the basic thought of rolling bearing fault diagnosis with multi-feature entropy distance method was given. Through rotor simulation test rig, the vibration and acou
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Dou, Chun Hong. "Fault Feature Extraction for Gearboxes Using Empirical Mode Decomposition." Advanced Materials Research 383-390 (November 2011): 1376–80. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1376.

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The paper uses empirical mode decomposition to extract the fault feature of gearboxes. Traditional techniques fail to process the non-stationary and nonlinear signals. Empirical mode decomposition is a powerful tool for the non-stationary and nonlinear signal analysis and has attracted considerable attention recently. First, a simulation signal is used to measure the performance of the empirical mode decomposition method. Then, the empirical mode decomposition method is applied to analyze the signals captured from the gearbox with multiple faults and successfully extracts the multiple fault in
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Liu, Shu Lin, You Fu Tang, Ji Cheng Liu, and Ying Hui Liu. "Research of Fault Feature Extraction Based on High Order Cyclic Statistics for Reciprocating Compressor Gas Valves." Applied Mechanics and Materials 44-47 (December 2010): 2094–98. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2094.

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. This paper proposes an approach of fault feature extraction for reciprocating compressor gas valves based on theory of cyclic statistics. First, the strength and weakness of the third-order cyclic statistics in extracting signal features are investigated by simulation signals. Since vibration signals for reciprocating compressor gas valves are of typical cyclic stationary, a new method of fault feature extraction is then proposed based on the simulation results. The method utilizes the cyclic bi-spectrum to extract fault features for the corresponding frequencies. The results show that the c
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Kang, Wei, Guang Jian Chang, and Xin Yong Qiao. "Approach to Diagnose Gear Tooth-Broken Fault Based on Web." Advanced Materials Research 433-440 (January 2012): 2257–62. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2257.

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Gear box is one of the most important parts of vehicle transmission. Its fault influences the mobility of vehicle. In all the gear faults tooth-broken have the most serious harm. In this paper fault simulation test was taken on armored vehicle, and the vibration signals of gear box were measured. A signal analysis and fault diagnosis system was developed based on wireless web to analyze the signals in time domain and frequency domain. In this way a type of remote diagnosis is realized to diagnosing gear fault.
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Zhang, Dingcheng, Dejie Yu, and Xing Li. "Optimal resonance-based signal sparse decomposition and its application to fault diagnosis of rotating machinery." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 24 (2016): 4670–83. http://dx.doi.org/10.1177/0954406216671542.

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The fault diagnosis of rotating machinery is quite important for the security and reliability of the overall mechanical equipment. As the main components in rotating machinery, the gear and the bearing are the most vulnerable to faults. In actual working conditions, there are two common types of faults in rotating machinery: the single fault and the compound fault. However, both of them are difficult to detect in the incipient stage because the weak fault characteristic signals are usually submerged by strong background noise, thus increasing the difficulty of the weak fault feature extraction
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Papathanasopoulos, Dimitrios A., Konstantinos N. Giannousakis, Evangelos S. Dermatas, and Epaminondas D. Mitronikas. "Vibration Monitoring for Position Sensor Fault Diagnosis in Brushless DC Motor Drives." Energies 14, no. 8 (2021): 2248. http://dx.doi.org/10.3390/en14082248.

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A non-invasive technique for condition monitoring of brushless DC motor drives is proposed in this study for Hall-effect position sensor fault diagnosis. Position sensor faults affect rotor position feedback, resulting in faulty transitions, which in turn cause current fluctuations and mechanical oscillations, derating system performance and threatening life expectancy. The main concept of the proposed technique is to detect the faults using vibration signals, acquired by low-cost piezoelectric sensors. With this aim, the frequency spectrum of the piezoelectric sensor output signal is analyzed
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Zeng, Wen Feng, Yu Min Tian, Bao Hui Zhu, and Dong Li. "The Design of a Maintenance Simulation System for Lasers." Advanced Materials Research 926-930 (May 2014): 1440–43. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1440.

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The MCU system is used to simulate laser signals and the signals received by avalanche transistors so as to conduct signal detection of actual circuit boards.With establishing a library of fault cases through the computer serial port, the MCU and the fault setting module can be based on to realize the fault simulation of actual circuit boards and conduct the training in fault detection and removal. The designed fault setting software and assessment software can be combined to assess the training effects of fault analysis, detection and removal. The developed prototype passes the test of traini
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Dissertations / Theses on the topic "Simulation of fault signals"

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Hou, Junwei. "Concurrent fault simulation for mixed-signal circuits." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/15735.

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Wang, Xiaofeng. "Simulation models for rolling bearing vibration generation and fault detection via neural networks." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362159.

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Gomes, Alfred Vincent. "Alternate Test Generation for Detection of Parametric Faults." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5285.

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Tests for detecting faults in analog and mixed-signal circuits have been traditionally derived from the datasheet speci and #64257;cations. Although these speci and #64257;cations describe important aspects of the device, in many cases these application oriented tests are costly to implement and are inefficient in determining product quality. Increasingly, the gap between speci and #64257;cation test requirements and the capabilities of test equipment has been widening. In this work, a systematic method to generate and evaluate alternate tests for detecting parametric faults is proposed. We r
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Davari, Far Mehrdad. "Contribution to the fault diagnosis in photovoltaic systems." Amiens, 2014. http://www.theses.fr/2014AMIE0117.

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L'objectif de cette thèse était de développer des méthodes de détection de défauts dans les installations photovoltaïques. Une approche basée modèle et fondée sur la simulation pour détecter les défauts dans le système photovoltaïque résidentiel (RPS) est proposée. Un modèle hybride simplifié de panneau photovoltaïque utilisé avec un environnement MATLAB est développé et validé dans cette thèse. Son originalité c'est qu'il tourne en temps réel et il est suffisamment flexible pour simuler des systèmes photovoltaïques solaires avec des échelles différentes, avec ou sans diodes de dérivation et d
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Martínek, Marek. "Tvorba SW pro generování signálu simulující závady rotačních systémů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442837.

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This diploma thesis deals with the design and creation of an algorithm for generating simulated signal data from a vibration diagnostics device. The first part is focused on theoretical acquaintance with vibration diagnostics and characteristics of individual defects of rotary machines. The next part deals with the possibilities of mathematical and kinematic simulations using a computer software. The main part of this work is dedicated to design and creation of software for generating simulated signal data. In the last part, the principle of simulation of specific defects of rotary machines is
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Bhojwani, Soniya Naresh. "Simulation of Physiological Signals using Wavelets." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1193079604.

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Smith, Jason. "A Sensor Fault Detection Simulation Tool." Miami University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=miami1193282225.

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Warshawsky, Avrum S. "Distributed fault simulation using vector set partitioning." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59903.

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To explore the potential speedup to be obtained through parallelism, a mathematical model for the performance of fault simulation is developed.<br>A framework for performing fault simulation in a distributed environment is developed based on the assumption that fault simulation of different vectors can be run independently on different processors. This can be done using any uniprocessor fault simulator and requires only a fairly simple and low bandwidth communication mechanism. This communication mechanism distributes the list of faults detected by each simulator to all other simulators so tha
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Kwong, Albert L. C. "Parallel fault simulation on the C.RAM architecture." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0001/MQ34387.pdf.

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Wang, Xiaolin. "Synchronous fault simulation by surrogate with exceptions." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184687.

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The contribution of this dissertation is the development of a completely new and accurate algorithm SFSSE for synchronous fault simulation of sequential circuits. The distinctive difference between SFSSE (Synchronous Fault Simulation by Surrogate with Exceptions) and similar approaches for fault simulation in combinational logic circuits is that SFSSE is capable of handling faults stored in more than one memory elements and the reconvergence over time of the stored fault effect with the original fault. The experimental result shows a significant improvement for SFSSE by comparing its execution
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Books on the topic "Simulation of fault signals"

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Gardner, Floyd Martin. Simulation techniques: Models of communication signals and processes. Wiley, 1997.

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Kehil, D. Passive sonar signals simulation using frequency domain techniques. University of Birmingham, 1988.

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Knight, J. C. Second generation experiments in fault tolerant software. Dept. of Computer Science, School of Engineering and Applied Science, University of Virginia, 1987.

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Sammis, Charles G., and Yehuda Ben-Zion. Mechanics, structure and evolution of fault zones. Birkhauser, 2010.

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Philippe, Müllhaupt, and SpringerLink (Online service), eds. Advances in the Theory of Control, Signals and Systems with Physical Modeling. Springer-Verlag Berlin Heidelberg, 2011.

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Litt, John. Sensor fault detection and diagnosis simulation of a helicopter engine in an intelligent control framework. National Aeronautics and Space Administration, 1994.

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Kuipers, Benjamin. Self-calibrating models for dynamic monitoring and diagnosis: Final report covering the period 1 February 1992 to 31 March 1995. University of Texas at Austin, 1996.

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Bedrosian, Edward. Concept-level analytical procedures for loading nonprocessing communication satellites with nonantijam signals. Rand, 1996.

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Institution of Engineering and Technology. Thermal Power Plant Simulation and Control. IET, 2003.

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Rogers, A. M. Monte Carlo simulation of peak-acceleration attenuation using a finite-fault uniform-patch model: A parameter study. Dept. of the Interior, U.S. Geological Survey, 1995.

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Book chapters on the topic "Simulation of fault signals"

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Huber, John P., and Mark W. Rosneck. "Fault Simulation." In Successful ASIC Design the First Time Through. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-7885-3_7.

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Ulrich, Ernst G., Vishwani D. Agrawal, and Jack H. Arabian. "Concurrent Fault Simulation." In Concurrent and Comparative Discrete Event Simulation. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2738-1_4.

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Santucci, Jean-François, Paul Bisgambiglia, and Dominique Federici. "Behavioral Fault Simulation." In Advanced Techniques for Embedded Systems Design and Test. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-4419-4_11.

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Krstić, Angela, and Kwang-Ting Cheng. "Delay Fault Simulation." In Frontiers in Electronic Testing. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5597-1_6.

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Walker, Duncan Moore Henry. "Fault Analysis." In Yield Simulation for Integrated Circuits. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-1931-4_5.

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Khare, Jitendra B., and Wojciech Maly. "Contamination-Defect-Fault (CDF) Simulation." In From Contamination to Defects, Faults and Yield Loss. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1377-9_3.

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Navabi, Zainalabedin. "Fault Simulation Applications and Methods." In Digital System Test and Testable Design. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7548-5_4.

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Ulrich, Ernst G., Vishwani D. Agrawal, and Jack H. Arabian. "Fault Simulation of Diagnostic Programs." In Concurrent and Comparative Discrete Event Simulation. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2738-1_8.

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Azambuja, José Rodrigo, Fernanda Kastensmidt, and Jürgen Becker. "Simulation Fault Injection Experimental Results." In Hybrid Fault Tolerance Techniques to Detect Transient Faults in Embedded Processors. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06340-9_5.

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Chibani, Kais, Adrien Facon, Sylvain Guilley, et al. "Fault Analysis Assisted by Simulation." In Automated Methods in Cryptographic Fault Analysis. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11333-9_12.

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Conference papers on the topic "Simulation of fault signals"

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Dedoussis, V., K. Mathioudakis, and K. D. Papailiou. "Numerical Simulation of Blade Fault Signatures From Unsteady Wall Pressure Signals." In ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/94-gt-289.

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A method for establishing signatures of faults in the rotating blades of a gas turbine compressor is presented. The method employs a panel technique for the calculation of the flow field around blade cascades, with disrupted periodicity, a situation which is encountered when a blade fault has occurred. From this calculation, time signals of the pressure at a location on the casing wall, facing the rotating blades, are constituted. Processing these signals, in combination with “healthy” pressure signals allows the constitution of fault signatures. The proposed method employs geometrical data, a
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Bartelmus, Walter, and Radosław Zimroz. "Gearbox Systems Dynamic Modelling for Diagnostic Fault Detection." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/ptg-48080.

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The paper deals with mathematical modelling and computer simulation of a gearbox driving system with a double stage gearbox. Mathematical modelling and computer simulations are used for supporting diagnostic inference. Vibration is thought of as a signal of gear condition. It is stressed that vibration generated by gears is influenced by many factors. These factors are divided into four groups: design, production technology, operational, condition change. The condition change of a gearbox is given by gear faults that are divided into single faults such as a tooth crack or breakage or distribut
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Leger, Gildas, and Antonio Gines. "Likelihood-sampling adaptive fault simulation." In 2017 International Mixed Signals Testing Workshop (IMSTW). IEEE, 2017. http://dx.doi.org/10.1109/ims3tw.2017.7995200.

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Korkealaakso, Pasi, Asko Rouvinen, and Aki Mikkola. "Multibody Simulation Formulations in Fault Diagnosis of a Reel." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84923.

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In order to improve the recognition of faulty situations, the model-based fault diagnosis can be used together with signal processing methods. In this study, faults and abnormalities of a reel is studied by employing the multibody simulation approach. The reel under consideration consists of a number of subsystems including hydraulics, electrical drives and mechanical parts, which are coupled by joints, friction forces and contact forces. Using the multibody simulation approach, the complete model of the reel can be obtained by coupling different subsystems together. Three well-known multibody
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Gangsar, Purushottam, and Rajiv Tiwari. "Analysis of Time, Frequency and Wavelet Based Features of Vibration and Current Signals for Fault Diagnosis of Induction Motors Using SVM." In ASME 2017 Gas Turbine India Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gtindia2017-4774.

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This paper presents a comparative analysis of the time, frequency and time-frequency domain based features of the vibration and current signals for identifying various faults in induction motors (IMs) using support vector machine (SVM). Four mechanical faults (bearing fault, unbalanced rotor, bowed rotor and misaligned rotor), and three electrical faults (broken rotor bars, stator winding fault with two severity levels and phase unbalance with two severity levels) are considered in the present study. The proposed fault diagnosis consists of three steps. In the first step, the vibration in thre
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Yang, J. G., K. Zhao, Y. Pan, and X. D. Liu. "Research on the Simulation Method of Dynamic Response of High Voltage Circuit Breaker During Operation." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66357.

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High voltage circuit breaker (CB) is one of the most important components in high voltage circuit. In the process of operation, some kinds of mechanical faults such as jam fault, component deformation and component failure may occur and affect the performance of the circuit breaker. But, generally it is difficult to diagnose these faults. To obtain the characteristics of these faults in the high voltage circuit breaker, in this paper, a simulation method for high voltage circuit breakers is investigated. Firstly, the dynamic models of the operating mechanism of the high voltage circuit breaker
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Venkataram, Nithin, Harish K. Bhagavan, Rahul M. Cadambi, and Arun R. Rao. "Numerical Simulation and Experimental Validation of Frequency Based Fault Detection and Localization in a Planetary Gearbox Under Dynamic Condition." In ASME 2019 Gas Turbine India Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gtindia2019-2523.

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Abstract The planetary gearbox is often susceptible to faults under dynamic condition. Most of the literature assumes that gearboxes are free from defects. But in real-time working condition these assumptions are not accurate. Therefore the challenge lies in identifying and localizing a fault in planetary gearbox under dynamic condition. In this paper, the focus is on modelling and simulation of a fault in a planetary gearbox and validate the same with experimental tests. A planetary gearbox is modelled as per DIN standard and simulated for time and frequency domain signals. On comparing a fau
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Parky, Joonsung, Srinadh Madhavapeddiz, Alessandro Paglieri, Chris Barrz, and Jacob A. Abrahamy. "Defect-based analog fault coverage analysis using mixed-mode fault simulation." In 2009 IEEE 15th International Mixed-Signals, Sensors, and Systems Test Workshop (IMS3TW). IEEE, 2009. http://dx.doi.org/10.1109/ims3tw.2009.5158688.

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Hou, Chin-Che, and Min-Chun Pan. "Feature Extraction Based on Teager-Kaiser Energy Operation and Envelope Spectra for Fault Detection of a Reciprocating Compressor." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24550.

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Abstract In this paper, signal analysis techniques based on Teager-Kaiser energy operation and envelope spectra for fault detection of the discharge valve of a reciprocating compressor is proposed. The method can accurately identify the existing fault of vibration signal features that it simulated by the synthetic signals. A two-phase study was designed to explore the signals simulation and the experimental validation. Signals simulation, which is based on the operation of a reciprocating compressor, and experiment design, which uses three conditions. The first stage is to simulate the operati
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Wang, Chongyu, Di Zhang, and Yonghui Xie. "Research on Fault Diagnosis of Steam Turbine Rotor Unbalance and Parallel Misalignment Based on Numerical Simulation and Convolutional Neural Network." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-60247.

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Abstract The steam turbine rotor is still the main power generation equipment. Affected by the impact of new energy on the power grid, the steam turbine needs to participate in peak load regulation, which will make turbine rotor components more prone to failure. The rotor is an important equipment of a steam turbine. Unbalance and misalignment are the normal state of rotor failure. In recent years, more and more attention has been paid to the fault detection method based on deep learning, which takes rotating machinery as the object. However, there is a lack of research on actual steam turbine
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Reports on the topic "Simulation of fault signals"

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Venkataraman, Srikanth, W. K. Fuchs, and Janak H. Patel. Diagnostic Simulation of Sequential Circuits Using Fault Sampling. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada339323.

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Johnson, Barry W., D. T. Smith, and Todd A. DeLong. VHDL Fault Simulation and Automatic Test Pattern Generation Requirements Document. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada304358.

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DRAKE, RICHARD R., and RANDALL M. SUMMERS. An Exploration in Implementing Fault Tolerance in Scientific Simulation Application Software. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/811162.

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Schein, Jeffery, and Steven Bushby. A simulation study of a hierarchical, rule-based method for system-level fault detection and diagnostics in HVAC systems. National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7216.

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Juanes, Ruben. Enhanced Simulation Tools to Improve Predictions and Performance of Geologic Storage: Coupled Modeling of Fault Poromechanics, and High-Resolution Simulation of CO2 Migration and Trapping. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1345666.

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Pitarka, Arben. Multi Segment Fault Rupture Modeling and Strong Ground Motion Simulation Using Irikura, Japan Recipe: Implementation in the in SCEC BB Platform. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1544495.

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Nafakh, Abdullah Jalal, Yunchang Zhang, Sarah Hubbard, and Jon D. Fricker. Assessment of a Displaced Pedestrian Crossing for Multilane Arterials. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317318.

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This research explores the benefits of a pedestrian crosswalk that is physically displaced from the intersection, using simulation software to estimate the benefits in terms of delay and pedestrian travel time. In many cases, the displaced pedestrian crossing may provide benefits such as reduced vehicle delay, reduced crossing distance, increased opportunity for signal progression, and reduced conflicts with turning vehicles. The concurrent pedestrian service that is traditionally used presents potential conflicts between pedestrians and three vehicular movements: right turns, permissive left
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Bobashev, Georgiy, John Holloway, Eric Solano, and Boris Gutkin. A Control Theory Model of Smoking. RTI Press, 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0040.1706.

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Abstract:
We present a heuristic control theory model that describes smoking under restricted and unrestricted access to cigarettes. The model is based on the allostasis theory and uses a formal representation of a multiscale opponent process. The model simulates smoking behavior of an individual and produces both short-term (“loading up” after not smoking for a while) and long-term smoking patterns (e.g., gradual transition from a few cigarettes to one pack a day). By introducing a formal representation of withdrawal- and craving-like processes, the model produces gradual increases over time in withdra
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