Prof. Yi-Qing Ni Profile

Prof. Yi-Qing Ni

Full Professor at Hong Kong Polytechnic Univ

SPIE Involvement:

Author

Publications (36)

Proceedings Article | 24 April 2020 Presentation

Real-time monitoring of bolt looseness under an EMI-based PZT sensing network (Conference Presentation)

Lu Zhou, Si-Xin Chen, Yi-Qing Ni

Proceedings Volume 11379, 113790H (2020) https://doi.org/10.1117/12.2558533

KEYWORDS: Ferroelectric materials, Electromagnetic coupling, Sensors, Ultrasonics, Sensing systems, Finite element methods

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Proceedings Article | 13 May 2015 Paper

Big data extraction with adaptive wavelet analysis (Presentation Video)

Hongya Qu, Genda Chen, Yiqing Ni

Proceedings Volume 9435, 94350V (2015) https://doi.org/10.1117/12.2083698

KEYWORDS: Wavelet transforms, Wavelets, Time-frequency analysis, Video, Data analysis, Fourier transforms, Bridges, Nondestructive evaluation, Feature extraction, Ground penetrating radar

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Proceedings Article | 9 May 2014 Paper

Monitoring of wind pressure distribution at a supertall structure above maximum gradient wind level (presentation video)

Y. Ni, Y. Wang, S. D. Song

Proceedings Volume 9061, 90612O (2014) https://doi.org/10.1117/12.2050840

KEYWORDS: Wind measurement, Video, Buildings, Sensors, Smart structures, Aerospace engineering, Current controlled current source

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Proceedings Article | 9 May 2014 Paper

Crack detection of railway turnouts using PZT sensors (presentation video)

Yiqing Ni, Z. Li, F. Wu

Proceedings Volume 9064, 90641S (2014) https://doi.org/10.1117/12.2050935

KEYWORDS: Sensors, Signal detection, Ferroelectric materials, Video, Switches, Signal generators, Acoustic emission, Fiber Bragg gratings, Lithium, Current controlled current source

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Proceedings Article | 6 April 2012 Paper

Experimental study on impact force identification of ship-bridge collision using smart piezoelectric sensors

X. Ye, Z. Guo, Y. Ni, Y. Chen

Proceedings Volume 8345, 834533 (2012) https://doi.org/10.1117/12.914960

KEYWORDS: Sensors, Bridges, Ferroelectric materials, Calibration, Data acquisition, Analytical research, Chemical elements, Piezoelectric effects, Structural engineering, Computer simulations

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Proceedings Article | 6 April 2012 Paper

Structural health monitoring of wind turbine blade using fiber Bragg grating sensors and fiber optic rotary joint

Y. Chen, Y. Ni, X. Ye, H. Yang, S. Zhu

Proceedings Volume 8345, 834534 (2012) https://doi.org/10.1117/12.914961

KEYWORDS: Fiber Bragg gratings, Sensors, Fiber optics sensors, Fiber optics, Wind energy, Refractive index, Finite element methods, Structural health monitoring, Absorption, Wind turbine technology

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Proceedings Article | 13 April 2011 Paper

Field investigation of a vibration monitoring wireless sensor network on a huge cantilever structure

H. Zhou, J. Liu, Y. Ni, D. Zhu

Proceedings Volume 7981, 79810H (2011) https://doi.org/10.1117/12.881748

KEYWORDS: Sensor networks, Sensors, Prototyping, Transceivers, Structural monitoring, Bridges, Structural health monitoring, Wireless communications, Amplifiers, Antennas

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Proceedings Article | 17 May 2005 Paper

Instrumentation for durability monitoring of a long-span cable-stayed bridge

X. G. Hua, Y. Q. Ni, H. F. Zhou, J. M. Ko

Proceedings Volume 5765, (2005) https://doi.org/10.1117/12.600434

KEYWORDS: Corrosion, Bridges, Sensors, Data acquisition, Computing systems, Humidity, Electrodes, Safety, Structural health monitoring, Embedded systems

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Proceedings Article | 17 May 2005 Paper

Performance of neural networks for simulation and prediction of temperature-induced modal variability

H. F. Zhou, Y. Q. Ni, J. M. Ko

Proceedings Volume 5765, (2005) https://doi.org/10.1117/12.599187

KEYWORDS: Neural networks, Temperature metrology, Data modeling, Bridges, Temperature sensors, Sensors, Damage detection, Device simulation, Environmental sensing, Structural health monitoring

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Proceedings Article | 17 May 2005 Paper

Modeling of a full-scale MR damper and its application in open-loop vibration control of stay cables

J. M. Ko, Y. F. Duan, Y. Q. Ni

Proceedings Volume 5765, (2005) https://doi.org/10.1117/12.599706

KEYWORDS: Vibration control, Bridges, Control systems, Mathematical modeling, Data modeling, Magnetism, Systems modeling, Integration, Nickel, Structural engineering

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Proceedings Article | 17 May 2005 Paper

Design guidelines for open-loop vibration control of stay cables using MR dampers

Y. F. Duan, Y. Q. Ni, J. M. Ko

Proceedings Volume 5765, (2005) https://doi.org/10.1117/12.599641

KEYWORDS: Vibration control, Bridges, Control systems, Mathematical modeling, Control systems design, Magnesium, Commercial off the shelf technology, Nickel, Structural engineering, Aerodynamics

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Proceedings Article | 29 July 2004 Paper

Theoretical and experimental studies on semi-active feedback control of cable vibration using MR dampers

Yuan-Feng Duan, Yi-Qing Ni, Jan-Ming Ko

Proceedings Volume 5391, (2004) https://doi.org/10.1117/12.540897

KEYWORDS: Control systems, Feedback control, Bridges, Matrices, Vibration control, Received signal strength, Numerical simulations, Computer simulations, Sensors, Prototyping

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Proceedings Article | 29 July 2004 Paper

Smart TLCD using synthetic-hydrocarbon-based MR fluid: an experimental study

Jan-Ming Ko, S. Zhan, Yi-Qing Ni, Yuan-Feng Duan

Proceedings Volume 5391, (2004) https://doi.org/10.1117/12.540895

KEYWORDS: Liquids, Magnetism, Prototyping, Magnetorheological finishing, Signal generators, Control systems, Phased array optics, Complex systems, Vibration control, Numerical simulations

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Proceedings Article | 18 August 2003 Paper

MR damping system on Dongting Lake cable-stayed bridge

Z. Q. Chen, X. Y. Wang, J. M. Ko, Y. Q. Ni, Billie Spencer, G. Yang

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.498072

KEYWORDS: Bridges, Video, Control systems, Cameras, Nickel, Wind measurement, Aerodynamics, Reliability, Smart materials, Nondestructive evaluation

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Proceedings Article | 18 August 2003 Paper

Formulation of an uncertainty model relating modal parameters and environmental factors by using long-term monitoring data

J. M. Ko, K. Chak, J. Y. Wang, Y. Q. Ni, T. H. T. Chan

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482380

KEYWORDS: Temperature metrology, Bridges, Neural networks, Sensors, Data modeling, Environmental sensing, Temperature sensors, Environmental monitoring, Associative arrays, Astatine

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Proceedings Article | 18 August 2003 Paper

Automatic modal identification of cable-supported bridges instrumented with a long-term monitoring system

Y. Q. Ni, K. Q. Fan, G. Zheng, T. H. T. Chan, J. M. Ko

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482379

KEYWORDS: Bridges, Environmental sensing, Software development, Sensors, Environmental monitoring, Structural health monitoring, Vibrometry, LabVIEW, Damage detection, Computer programming languages

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Proceedings Article | 18 August 2003 Paper

Amplitude-dependent frequency and damping identification of bridge cables with MR dampers in different setups

Y. F. Duan, Yi Qing Ni, J. M. Ko, Z. Q. Chen

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482378

KEYWORDS: Bridges, Control systems, Vibration control, Data acquisition, Algorithm development, Civil engineering, Smart materials, Nondestructive evaluation, Bismuth, Magnetic resonance imaging

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Proceedings Article | 28 June 2002 Paper

Nonclipping optimal control of randomly excited nonlinear systems using semi-active ER/MR dampers

Zuguang Ying, Yi-Qing Ni, Jan Ming Ko

Proceedings Volume 4696, (2002) https://doi.org/10.1117/12.472556

KEYWORDS: Control systems, Stochastic processes, Computer programming, Complex systems, Control systems design, Diffusion, Differential equations, Process control, Vibration control, Nonlinear control

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Proceedings Article | 28 June 2002 Paper

Experimental investigation on seismic response control of adjacent buildings using semi-active MR dampers

Yi-Qing Ni, H.J. Liu, Jan Ming Ko

Proceedings Volume 4696, (2002) https://doi.org/10.1117/12.472570

KEYWORDS: Control systems, Buildings, Electroluminescence, Earthquakes, Stochastic processes, Feedback control, Prototyping, Simulink, MATLAB, Environmental sensing

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Proceedings Article | 28 June 2002 Paper

Damping identification of MR-damped bridge cables from in-situ monitoring under wind-rain-excited conditions

Yi-Qing Ni, Y.F. Duan, Z. Chen, Jan Ming Ko

Proceedings Volume 4696, (2002) https://doi.org/10.1117/12.472573

KEYWORDS: Aluminum, Bridges, Osmium, Sensors, Vibration control, Motion measurement, Video, Cameras, Data acquisition, Iron

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Proceedings Article | 28 June 2002 Paper

Field vibration tests of bridge stay cables incorporated with magnetorheological (MR) dampers

Jan Ming Ko, Gang Zheng, Z. Chen, Yi-Qing Ni

Proceedings Volume 4696, (2002) https://doi.org/10.1117/12.472567

KEYWORDS: Bridges, Sensors, Vibration control, Aluminum, Transducers, Data acquisition, Spectral resolution, Laminated object manufacturing, Smart materials, Electronic filtering

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Proceedings Article | 18 June 2002 Paper

Implementation issues of novelty detection technique for cable-supported bridges instrumented with a long-term monitoring system

Yi-Qing Ni, Hong Li, Jian-Yi Wang, Jan Ming Ko

Proceedings Volume 4704, (2002) https://doi.org/10.1117/12.470727

KEYWORDS: Bridges, Neural networks, Distance measurement, Sensors, Mahalanobis distance, Finite element methods, Damage detection, Interference (communication), Modulation, Global Positioning System

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Implementation of a sophisticated long-term monitoring system on the Tsing Ma suspension bridge in Hong Kong highlights the necessity of developing practical damage detection methodologies for large-scale civil structures. The novelty detection technique has been demonstrated to be greatly promising for damage occurrence detection of long-span bridge structures in operation with noisy measurement data. Some key issues concerning the implementation of this technique to the instrumented Tsing Ma Bridge are explored in this paper: (i) Selection of modal frequencies in constructing novelty neural network input for structural damage alarming. A novelty detection neural network using natural frequencies of only vertical modes as input vector and a novelty detection neural network using natural frequencies of mixed vertical and lateral/torsional modes as input vector are respectively constructed, and their identification sensitivities are compared; (ii) Definition of distance functions to measure difference between the input and output vectors due to anomaly. Both the Euclidean distance and the Mahalanobis distance are used to define the anomaly metric and their sensitivities to damage are identified; (iii) Construction of a novelty index capable of discerning between the novelty shift due to structural damage and the novelty shift due to inconsistent noise level. The focus of the present study is on developing an improved novelty index which uniquely indicates structural damage rather than anomaly due to change of noise level. The existing novelty index cannot distinguish true damage from anomaly due to inconsistent noise level in training and testing stages. As a result, the sequence shift signaled by such a novelty index is definitely indicative of structural damage only when the noise level is exactly same for the training data and for the testing data in statistical sense. On the contrary, the improved novelty index developed in this study always indicates damage information no matter the training noise level is greater or less than the testing noise level.

Proceedings Article | 3 August 2001 Paper

Remote visualized health monitoring of cable-supported bridges

Jan Ming Ko, Yi-Qing Ni, Zong Sun, Hung-tin Tommy Chan

Proceedings Volume 4337, (2001) https://doi.org/10.1117/12.435612

KEYWORDS: Bridges, Sensors, Visualization, Databases, Data acquisition, Computing systems, Data processing, Geographic information systems, Statistical analysis, Human-machine interfaces

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Proceedings Article | 3 August 2001 Paper

Application of adaptive probabilistic neural network to damage detection of Tsing Ma suspension bridge

Yi-Qing Ni, S. Jiang, Jan Ming Ko

Proceedings Volume 4337, (2001) https://doi.org/10.1117/12.435610

KEYWORDS: Bridges, Neural networks, Damage detection, Neurons, Distance measurement, Computing systems, Finite element methods, 3D modeling, Artificial neural networks, Synthetic aperture radar

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Proceedings Article | 3 August 2001 Paper

Modal indices for identifying damage location in cable-stayed Kap Shui Mun Bridge

Zong Sun, Jan Ming Ko, Yi-Qing Ni

Proceedings Volume 4337, (2001) https://doi.org/10.1117/12.435613

KEYWORDS: Bridges, 3D modeling, Finite element methods, Tolerancing, Composites, Roads, Transition metals, Synthetic aperture radar, Computing systems, Data modeling

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