Robust fault estimation in the finite-frequency domain for multi-agent systems

To enhance fault characteristics and improve fault detection accuracy in bearing vibration signals, this paper proposes a fault diagnosis method using a wavelet packet energy spectrum and an improved deep confidence network. Firstly, a wavelet packet transform decomposes the original vibration signal into different frequency bands, fully preserving the original signal’s frequency information, and constructs feature vectors by extracting the energy of sub-frequency bands via the energy spectrum to extract and enhance fault feature information. Secondly, to minimize the time-consuming manual parameter adjustment procedure and increase the diagnostic accuracy, the sparrow search algorithm–deep belief network method is proposed, which utilizes the sparrow search algorithm to optimize the hyperparameters of the deep belief networks and reduce the classification error rate. Finally, to verify the effectiveness of the method, the rolling bearing data from Casey Reserve University were selected for verification, and compared to other commonly used algorithms, the proposed method achieved 100% and 99.34% accuracy in two sets of comparative experiments. The experimental results demonstrate that this method has a high diagnostic rate and stability.

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“…Calculate the locations of followers using Equation (18) Select scouters randomly and update their locations using Equation( 20…”

Section: Divide Populations Into Explorers and Followers Based On Sor...mentioning

confidence: 99%

Fault Diagnosis of Bearings Using Wavelet Packet Energy Spectrum and SSA-DBN

Cheng

Liang

et al. 2023

Processes

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“…Han, et al [1] designed an agent-based remote intelligent teaching system model for the problem of weak dynamic interaction ability of traditional remote network teaching system. Pu et al [2] proposed a combat modeling method based on agent action diagrams for the problem that military conceptual models are not directly driven and military personnel play a leading role in the process of agent-based combat modeling.…”

Section: Introductionmentioning

confidence: 99%

A Game Coordination Optimization Algorithm

Zhu

et al. 2023

J. Phys.: Conf. Ser.

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In order to solve the problems of information flow and traffic jams, this paper proposes a game coordination optimization algorithm, and gives a coordination optimization model for the communication signal area. A game coordination strategy algorithm is studied using multi-agent technology. This model can make all local area networks and routing ports fully cooperate, so that the communication signals of a certain area can be coordinated and optimized. At the same time, the application of the game coordination optimization algorithm in power grid intelligent communication, control and resource optimization is given. By comparing the communication effect under different coordination probabilities, the simulation results show that the communication effect under high coordination probability has obvious advantages such as high fidelity, low distortion, fast communication speed, and small communication volume. The development of these studies can in turn accelerate the application of game and agent algorithms in various fields.

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“…In [13], an UIO is constructed for linear MAS with actuator fault only according to the relative output information. In addition, some other algorithms have been presented in [14][15][16][17][18][19][20] for the problem of fault diagnosis in multi-agent systems.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis and Fault-Tolerant Control for Leader-Follower Multi-Agent Systems with Time Delay

Zhang

Yao

2022

Journal of Control Science and Engineering

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Under the guidance of the directed graph, this paper studies the fault diagnosis (FD) and fault-tolerant control (FTC) of the leader-follower multi-agent systems (MASs) with time delay. Actuator faults and disturbances are considered in this study, which make the work of this paper more challenging. Firstly, a robust distributed observer on the basis of the relative estimation error is put forward to obtain the fault estimation information. Then, after getting the fault information obtained by the observer, a dynamic compensation FTC protocol on the basis of the relative output tracking error is developed to make the output of followers can track the leader's output. Finally, the proposed algorithm is verified by an example and satisfactory results are obtained.

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Robust fault estimation in the finite-frequency domain for multi-agent systems

Cited by 9 publications

References 37 publications

Fault Diagnosis of Bearings Using Wavelet Packet Energy Spectrum and SSA-DBN

Fault Diagnosis of Bearings Using Wavelet Packet Energy Spectrum and SSA-DBN

A Game Coordination Optimization Algorithm

Fault Diagnosis and Fault-Tolerant Control for Leader-Follower Multi-Agent Systems with Time Delay

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