Networked multi-sensor fusion fault detection method

A multi-sensor fusion and fault detection technology, applied in the field of networked systems, can solve problems such as data conflict, affecting the real-time and accuracy of fault detection, and destroying the data frame structure.

Active Publication Date: 2019-07-05
JIANGNAN UNIV
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  • Claims
  • Application Information

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Problems solved by technology

Since the shared network bandwidth is limited, when multiple sensors use the network to communicate at the same time, it is easy to cause a series of problems such as data conflict, delay, and timing disorder, which will destroy the structure of the data frame and affect the real-time performance and accuracy of fault detection. accuracy

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Embodiment

[0170] By adopting a networked multi-sensor fusion fault detection method proposed by the present invention, the system (12) is mean square asymptotically stable in consideration of external disturbances and faults. The specific implementation method is as follows:

[0171] The model of a networked uninterruptible power supply system is formula (12), the system has N = 3 sensor nodes, and its system parameters are given as:

[0172]

[0173] The output models of the three nodes are

[0174] the y 1 (k)=C 1 x(k)+D 1 w(k)

[0175] the y 2 (k)=C 2 x(k)+D 2 w(k)

[0176] the y 3 (k)=C 3 x(k)+D 3 w(k)

[0177] where ε 0 =0.15, ε=0.001,

[0178]The initial state of the system is x(0)=[0 0 0] T , y(-1)=[0 0 0] T , can get Through MATLAB software simulation, the data required in this paper can be obtained, and the specific simulation graphics are as attached image 3 , attached Figure 4 , attached Figure 5 shown.

[0179] Combined with the weighted TOD p...

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Abstract

The invention discloses a networked multi-sensor fusion fault detection method, and belongs to the field of networked systems. The method comprises the steps of firstly establishing a double-time-scale system model with parameter perturbation and faults, solving the data communication problem of a shared network through a weighted Try-Once-Discard protocol, designing a local fault detection filterand a global fusion fault detection filter, and introducing a residual evaluation mechanism to judge whether the system has faults or not; applying a Lyapunov stability theory and an LMI technology to obtain the sufficient conditions of the local fault detection filter and the global fusion fault detection filter; and using an LMI toolbox to solve the optimization problem, and obtaining a local optimal fault detection filter parameter and a global optimal fusion weight parameter. According to the method, the parameter perturbation, network bandwidth limitation and faults of the system under the actual condition are considered, and the method is suitable for the fault detection of a general networked system and has better universality.

Description

technical field [0001] The invention belongs to the field of networked systems, and relates to a networked multi-sensor fusion fault detection method. Background technique [0002] With the rapid development of communication, control and computer technology, networked systems have been widely used in many fields in recent years. Compared with traditional centralized control systems, networked systems have the advantages of flexible structure, easy expansion, and easy maintenance and installation. However, the introduction of communication networks also brings problems such as transmission delay, quantization error, and data packet loss. The emergence of network inducing factors will have a great negative impact on system performance, and even lead to system instability in severe cases. Networked systems are complex systems that are deeply integrated with information systems and physical systems. The security of such systems has attracted the continuous attention of scholars...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 姜顺汪浩潘丰
Owner JIANGNAN UNIV
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