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  • Open Access

    ARTICLE

    Vibration Based Fault Diagnosis of a Hydraulic Brake System using Variational Mode Decomposition (VMD)

    R. Jegadeeshwaran1, V. Sugumaran2, K.P. Soman3

    Structural Durability & Health Monitoring, Vol.10, No.1, pp. 81-97, 2014, DOI:10.3970/sdhm.2014.010.081

    Abstract In automobile, brake system is an essential part responsible for control of the vehicle. Vibration signals of a rotating machine contain the dynamic information about its health condition. Many research papers have reported the suitability of vibration signals for fault diagnosis applications. Many of them are based on (Fast Fourier Transform) FFT, which have their own drawback with nonstationary signals. Hence, there is a need for development of new methodologies to infer diagnostic information from such non stationary signals. This paper uses vibration signals acquired from a hydraulic brake system under good and simulated faulty conditions for the purpose of… More >

  • Open Access

    ARTICLE

    Fault Diagnosis of Helical Gear Box using Variational Mode Decomposition and Random Forest Algorithm

    Akhil Muralidharan1,2, V. Sugumaran1, K.P Soman3, M. Amarnath4

    Structural Durability & Health Monitoring, Vol.10, No.1, pp. 55-80, 2014, DOI:10.3970/sdhm.2014.010.055

    Abstract Gears are machine elements that transmit motion by means of successively engaging teeth. In purely scientific terms, gears are used to transmit motion. A faulty gear is a matter of serious concern as it affects the functionality of a machine to a great extent. Thus it is essential to diagnose the faults at an initial stage so as to reduce the losses that might be incurred. This necessitates the need for continuous monitoring of the gears. The vibrations produced by gears from good and simulated faulty conditions can be effectively used to detect the faults in these gears. The introduction… More >

  • Open Access

    ARTICLE

    Structural System Identification Using Quantum behaved Particle Swarm Optimisation Algorithm

    A. Rama Mohan Rao1, K. Lakshmi1, Karthik Ganesan2

    Structural Durability & Health Monitoring, Vol.9, No.2, pp. 99-128, 2013, DOI:10.32604/sdhm.2013.009.099

    Abstract Development of efficient system identification techniques is highly relevant for large civil infrastructure for effective health monitoring, damage detection and vibration control. This paper presents a system identification scheme in time domain to estimate stiffness and damping parameters of structures using measured acceleration. Instead of solving the system identification problem as an inverse problem, we formulate it as an optimisation problem. Particle swarm optimisation (PSO) and its other variants has been a subject of research for the past few decades for solving complex optimisation problems. In this paper, a dynamic quantum behaved particle swarm optimisation algorithm (DQPSO) is proposed for… More >

  • Open Access

    ARTICLE

    Sensor Fault Detection in Large Sensor Networks using PCA with a Multi-level Search Algorithm

    A. Rama Mohan Rao1, S. Krishna Kumar1, K. Lakshmi1

    Structural Durability & Health Monitoring, Vol.8, No.3, pp. 271-294, 2012, DOI:10.32604/sdhm.2012.008.271

    Abstract Current advancements in structural health monitoring, sensor and sensor network technologies have encouraged using large number of sensor networks in monitoring spatially large civil structures like bridges. Large amount of spatial information obtained from these sensor networks will enhance the reliability in truly assessing the state of the health of the structure. However, if sensors go faulty during operation, the feature extraction techniques embedded into SHM scheme may lead to an erroneous conclusion and often end up with false alarms. Hence it is highly desirable to robustly detect the faulty sensors, isolate and correct the data, if the data at… More >

  • Open Access

    ARTICLE

    Experimental evidence of soil bacteria abundance as the primary driver of rhizosphere priming effect

    Ma YP1,2,3#, ZJ Zhang1,2#, TQ Su1#, CA Busso4, ER Johnston5, XG Han1,6, XM Zhang2*

    Phyton-International Journal of Experimental Botany, Vol.87, pp. 286-291, 2018, DOI:10.32604/phyton.2018.87.286

    Abstract Soil microbial communities are thought to be responsible for the rhizosphere priming effect (RPE). However, because soil microbial communities are comprised of diverse components, very little is known about which component plays the critical role. In this study, soybean and cottonwood were grown at two latitudinal locations with different temperature and light conditions in-situ. We quantified RPE using a natural δ13C method, and measured the abundance, richness and composition of bacteria and fungi communities with DNA-based molecular methods. Among all potential variables, including the three aforementioned indexes of bacteria and fungi communities and soil physicochemical and plant indexes, bacterial abundance… More >

  • Open Access

    ARTICLE

    Thermal Responses of Woods Exposed to High Temperatures Considering Apparent Thermo-Physical Properties

    Yun Zhang1, Lingfeng Zhang2, Zhiwei Shan3, Lu Wang1,*, Weiqing Liu1

    Journal of Renewable Materials, Vol.7, No.11, pp. 1093-1108, 2019, DOI:10.32604/jrm.2019.07335

    Abstract It is well known that the use of woods as construction materials can embody carbon content of structural members, which can enhance the urban sustainability. However, due to the combustibility of wood, its current application is restricted. To broaden the application of wood, its thermal responses exposed to fire (high temperature) is investigated in this study. Firstly, the wood kinetic parameters are determined by coats-redfern method using thermal gravimetric (TGA) data. Secondly, the density and thermal conductivity are obtained from parallel and series models. Thirdly, the specific heat capacity formula is presented considering latent and decomposition heat, which can be… More >

  • Open Access

    RETRACTION

    RETRACTED: A Hybrid Nonlinear Active Noise Control Method Using Chebyshev Nonlinear Filter

    Bin Chen1, *, Shuyue Yu1, Yan Gao2

    Sound & Vibration, Vol.52, No.4, pp. 21-27, 2018, DOI:10.32604/sv.2018.03974

    Abstract Investigations into active noise control (ANC) technique have been conducted with the aim of effective control of the low-frequency noise. In practice, however, the performance of currently available ANC systems degrades due to the effects of nonlinearity in the primary and secondary paths, primary noise and louder speaker. This paper proposes a hybrid control structure of nonlinear ANC system to control the non-stationary noise produced by the rotating machinery on the nonlinear primary path. A fast version of ensemble empirical mode decomposition is used to decompose the non-stationary primary noise into intrinsic mode functions, which are expanded using the second-order… More >

  • Open Access

    ABSTRACT

    Multiphase Non-Equilibrium Pipe Flow Behaviors in the Solid Fluidization Exploitation of Marine Natural Gas Hydrate Reservoir

    Na Wei1,*, Jinzhou Zhao1, Wantong Sun1, Shouwei Zhou1, Liehui Zhang1, Qingping Li2, Haitao Li1, Qiang Fu1,2, Xin Lv2, Lijun Zheng2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.4, pp. 84-86, 2019, DOI:10.32604/icces.2019.04533

    Abstract Currently, marine natural gas hydrate has attracted people’s attention due to its huge amount of resources. As a creative way to securely and efficiently exploit metastable hydrate reservoir which is in shallow subsurface of sea floor and with weak cementing, the method of solid fluidization exploitation is to excavate and crush the marine natural gas hydrate reservoir, transport the hydrate to the sea surface platform through the airtight pipeline, and finally the methane gas is obtained after post-processing.
    In the process that the hydrate solid particles are transported up, as the temperature rises and the pressure drops, the hydrate rises… More >

  • Open Access

    ABSTRACT

    Kalman Filter Dynamic Mode Decomposition for Data Assimilation

    Taku Nonomura

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.4, pp. 73-74, 2019, DOI:10.32604/icces.2019.05266

    Abstract In this presentation, a family of Kalman filter dynamic mode decomposition, which consists of algorithms of the linear Kalman filter DMD method which identify the linear system and the extended Kalman filter DMD method which simultaneously identify the system and estimates state variable, is introduced. Then, the application of the extended Kalman filter DMD to data assimilation is discussed. More >

  • Open Access

    ABSTRACT

    Development of Large-Scale Finite Element Solver for Wind Turbine Blade Structure Using Balancing Domain Decomposition Methods

    Yasunori Yusa1,*, Tomoshi Miyamura2, Tomonori Yamada3, Shinobu Yoshimura3

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 58-58, 2019, DOI:10.32604/icces.2019.05231

    Abstract In a wind turbine blade, laminated plates consisting of fiber reinforced plastic materials are generally used due to its high specific strength. We have been developing a large-scale finite element solver to analyze the wind turbine blade structure. For such a structure, the laminated finite element is frequently used in modeling. Each laminated finite element has multiple layers, each of which is an orthotropic body in order to model the layered fiber reinforced materials with different fiber directions. Also, since a realistic wind turbine blade structure generally requires a large number of finite elements for discretization, we adopted a domain… More >

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