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Laihao Yang

Researcher at Xi'an Jiaotong University

Publications -  35
Citations -  427

Laihao Yang is an academic researcher from Xi'an Jiaotong University. The author has contributed to research in topics: Vibration & Computer science. The author has an hindex of 9, co-authored 23 publications receiving 169 citations. Previous affiliations of Laihao Yang include University of Massachusetts Lowell.

Papers
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Journal ArticleDOI

Multiple-harmonic amplitude and phase control method for active noise and vibration reshaping:

TL;DR: A more general and effective algorithm, called amplitude and phase control (APC), for ANVR, which can control amplitude andphase, simultaneously, of any interesting frequency component of the residual noise.
Proceedings ArticleDOI

Rub-Impact Detection of Rotor Systems Using Time-Frequency Techniques

TL;DR: In this article, a method based on the fast oscillated characteristics of IF for vibration responses is proposed to detect Rub-impact fault of rotor bearing system, which can be regarded as an additional support on the rotor system.
Journal ArticleDOI

Dynamic Characteristic Analysis of Rotating Blade With Transverse Crack—Part II: A Comparison Study of Different Crack Models

TL;DR: In this article, a nonlinear damage indicator (NDI) and an equivalent energy indicator (EEI) are introduced to characterize the nonlinear effect of crack from different perspectives.
Journal ArticleDOI

An improved analytical dynamic model for rotating blade crack: With application to crack detection indicator analysis:

TL;DR: In this paper, the fault mechanism and fault control mechanism for rotating blade are discussed and the most common and dangerous failure modes for rotational blade crack is discussed and a detailed analysis is presented.
Book ChapterDOI

A Continuum Robot with Twin-Pivot Structure: The Kinematics and Shape Estimation

TL;DR: In this article, a cable-driven continuum robot with a twin-pivot structure is presented, which poses smaller diameter-length-ratio and torsion resistance ability compared with conventional single-Pivot structure, as well as the kinematics and shape estimation.