A chaotic system-based signal identification Technology: Fault-diagnosis of industrial bearing system

Li, Shih Yu; Gu, Kai-Ren; Huang, Sheng‐Chieh

doi:10.1016/j.measurement.2020.108832

Cited by 12 publications

(5 citation statements)

References 51 publications

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“…Figure 8 shows that the fitted equation of K eq and ADA is K eq = 4.136 − 25.59 ψ2 . We then substitute this value into Compared with [45][46][47][48][49][50][51][52], the novelty and significance of our measurement technique include (a) using modal analysis technique and equivalent linearization theory to identify the parameters of the ship's quasi-rolling system, the control is simpler, the experiment is more economical and efficient than the traditional tank experiment. (b) The rolling test in this experiment is convenient to adjust repeatedly according to the results of numerical simulation, which can lay a foundation for the optimization of identification results and the adjustment of mathematical model.…”

Section: Parameter Identification Of the Restoring Momentmentioning

confidence: 99%

Parameter identification of ship roll motion based on vibration tests and CFD method

Wang¹,

Xu²

2021

Meas. Sci. Technol.

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This paper implements the parameter identification of ship roll motion based on vibration tests and the computational fluid dynamics (CFD) method. By applying sinusoidal moment excitations from a shaker, we successfully simulate the quasi-roll motion behavior of the ship model in the air. We conduct two vibration tests, including a constant-amplitude angular displacement test and a constant-amplitude angular velocity test, to identify the restoring moment and the damping moment coefficients of the quasi-roll motion. In addition, we perform the approximate equivalence of the fluid around the ship through the CFD method and the fluid-solid coupling technique. Thus, we obtain the hydrodynamic coefficients, such as the added mass moment of inertia and the equivalent damping, to accomplish the parameter identification of the ship's real roll motion. Finally, the accuracy of the identified parameters is verified by means of numerical simulations based on the Runge-Kutta method.

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Section: Parameter Identification Of the Restoring Momentmentioning

confidence: 99%

Parameter identification of ship roll motion based on vibration tests and CFD method

Wang¹,

Xu²

2021

Meas. Sci. Technol.

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“…Li and Gu et al [15][16][17] proposed Chaotic Mapping systems associated with a classification method extension theory. These systems are effective in identifying bearing fault states, but the processing of dynamic error signals requires extra time, leading to delayed diagnosis.…”

Section: Introductionmentioning

confidence: 99%

The Performance Investigation of Smart Diagnosis for Bearings Using Mixed Chaotic Features with Fractional Order

Tam

et al. 2023

Sensors

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This article presents a performance investigation of a fault detection approach for bearings using different chaotic features with fractional order, where the five different chaotic features and three combinations are clearly described, and the detection achievement is organized. In the architecture of the method, a fractional order chaotic system is first applied to produce a chaotic map of the original vibration signal in the chaotic domain, where small changes in the signal with different bearing statuses might be present; then, a 3D feature map can be obtained. Second, five different features, combination methods, and corresponding extraction functions are introduced. In the third action, the correlation functions of extension theory used to construct the classical domain and joint fields are applied to further define the ranges belonging to different bearing statuses. Finally, testing data are fed into the detection system to verify the performance. The experimental results show that the proposed different chaotic features perform well in the detection of bearings with 7 and 21 mil diameters, and an average accuracy rate of 94.4% was achieved in all cases.

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“…Chaotic systems have severe nonlinear behavior and are sensitive to changes in initial conditions and system parameters [14,15]. A wide spectra of Fourier transforms, irregular performance, strong harmonics in system signals and seemingly random behavior are other properties of chaotic systems [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

LMI-Observer-Based Stabilizer for Chaotic Systems in the Existence of a Nonlinear Function and Perturbation

et al. 2021

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In this study, the observer-based state feedback stabilizer design for a class of chaotic systems in the existence of external perturbations and Lipchitz nonlinearities is presented. This manuscript aims to design a state feedback controller based on a state observer by the linear matrix inequality method. The conditions of linear matrix inequality guarantee the asymptotical stability of the system based on the Lyapunov theorem. The stabilizer and observer parameters are obtained using linear matrix inequalities, which make the state errors converge to the origin. The effects of the nonlinear Lipschitz perturbation and external disturbances on the system stability are then reduced. Moreover, the stabilizer and observer design techniques are investigated for the nonlinear systems with an output nonlinear function. The main advantages of the suggested approach are the convergence of estimation errors to zero, the Lyapunov stability of the closed-loop system and the elimination of the effects of perturbation and nonlinearities. Furthermore, numerical examples are used to illustrate the accuracy and reliability of the proposed approaches.

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A chaotic system-based signal identification Technology: Fault-diagnosis of industrial bearing system

Cited by 12 publications

References 51 publications

Parameter identification of ship roll motion based on vibration tests and CFD method

Parameter identification of ship roll motion based on vibration tests and CFD method

The Performance Investigation of Smart Diagnosis for Bearings Using Mixed Chaotic Features with Fractional Order

LMI-Observer-Based Stabilizer for Chaotic Systems in the Existence of a Nonlinear Function and Perturbation

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