Bayesian-based bathyscaph multivariable fusion and water leakage detection method
A detection method and deep submersible technology, applied in fluid tightness testing, machine/structural component testing, instruments, etc., can solve problems such as difficult data labeling and complex structure of collected data, so as to improve computing efficiency and monitoring effect, the effect of reducing the impact
Active Publication Date: 2021-12-24
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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[0003] Aiming at the deficiencies of the prior art, the present invention provides a Bayesian-based deep submersible multivariate fusion and water leakage detection method, which solves the problems of complex data structure and difficult data labeling at present
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[0097] Deep-sea submersible is a key part of deep-sea exploration. It is mainly used to perform tasks such as underwater investigation, seabed exploration, seabed development and salvage, lifesaving, etc., and can be used as an underwater operation base for deep-sea activities. The underwater acoustic communicator is used to establish a real-time communication link between the manned submersible and the surface support mother ship. During the diving operation, the underwater acoustic communication system can accurately transmit various information and on-site pictures of the deep submersible to the water surface for the headquarters to make decisions and guide underwater operations; Text and command communications enable communication about subsea operations at any time. It can be seen that the underwater acoustic communicator is a comprehensive communication system, and the underwater acoustic communicator plays a vital role in information transmission for manned submersibles...
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The invention relates to a bayesian-based bathyscaph multivariable fusion and water leakage detection method. The method comprises the following steps: acquiring data of a bathyscaph in a normal working state; performing feature extraction on the acquired data according to a sparse representation method; constructing a target function by using the two norms; taking the collected data matrix as a dictionary matrix, and solving a convex optimization function to obtain a sparse coefficient matrix which comprises important association information among a plurality of variables; calculating the correlation between variables, and using the obtained sparse coefficient matrix to realize variable feature fusion of the to-be-detected sampling observation value; and based on the fused data, realizing water leakage detection of the bathyscaph equipment by using a Bayesian unsupervised mutation point detection method. According to the invention, information of multiple variables can be fused, the current situation that data labeling is difficult is solved, and the water leakage detection effect of bathyscaph equipment is effectively improved.
Description
technical field [0001] The invention relates to the field of fault detection of marine deep submersible equipment, in particular to a Bayesian-based multivariate fusion and water leakage fault detection method for deep submersibles. Background technique [0002] Deep diving technology is a necessary means for ocean development, and it is a complete system composed of deep submersibles, working mother ships (surface support ships) and land bases. Manned underwater deep submersibles need to have manned, underwater observation and operation capabilities at the same time, such as reaching deep sea seamounts, hydrothermal fluids, basins and mid-ocean ridges and other complex submarine terrains for cruising, hovering, correct positioning and positioning The highly difficult operations such as sitting on slopes have a high degree of electrification and automation, and the construction of the system is difficult. The subsystems and components in the overall system will interact comp...
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IPC IPC(8): G06K9/62G01M3/00
CPCG01M3/00G06F18/24155G06F18/251
Inventor 潘怡君郑泽宇付殿峥仝义明
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI