Construction Method of Fault Diagnosis Model of Marine Power Plant Based on Rough Set Petri Net
A fault diagnosis model and marine power station technology, applied in fault location, electrical digital data processing, special data processing applications, etc., can solve the problem of large amount of system information, the impact of fault diagnosis efficiency, and low accuracy and efficiency of Petri net modeling and other issues to achieve the effect of improving efficiency, improving speed and efficiency, and reducing data redundancy
Active Publication Date: 2017-03-08
NAVAL UNIV OF ENG PLA
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Problems solved by technology
However, for fault diagnosis of large and complex equipment, the system has a very large amount of information and has relatively large redundancy, which will affect the accuracy and efficiency of Petri net modeling to a certain extent.
The accuracy and efficiency of the existing Petri net modeling are low, which will also affect the efficiency of subsequent fault diagnosis
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[0016] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0017] The method for building a fault diagnosis model of a marine power station based on rough set petri nets is characterized in that it comprises the following steps:
[0018] Step 1: Obtain the collection of all fault performance information of each component in the power system of the marine power station;
[0019] Step 2: Use the rough set theory to obtain a non-redundant fault representation information set through the attribute reduction algorithm described in the following steps 201 to 209 for the above-mentioned collection of all fault performance information, as shown in figure 1 shown;
[0020] Step 201: Define the cause set of each component failure of the marine power station power system as a condition attribute C, define the failure of each component of the marine power station power system as a decision attribute D, and define ...
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The invention discloses a method for building a ship electric power plant fault diagnosis petri net model based on a rough set. The method comprises the steps as follows: 1, acquiring a set of fault performance information possibly existing in each part of a ship electric power plant power system; 2, obtaining a non-redundant fault performance information set of the fault performance information set with an attribute reduction algorithm according to the rough set theory; 3, establishing a corresponding relation between each subset in the non-redundant fault performance information set and each actual fault of the ship electric power plant power system, and forming a system fault Petri net model by the corresponding relations; and 4, performing lamination, classification and coloring treatment on the fault Petri net model of the ship electric power plant power system according to the composition structure of the ship electric power plant power system. According to the invention, the fault diagnosis model can be prevented from generating larger redundancy under the condition of a large quantity of fault information, and accuracy and efficiency of the ship electric power plant fault diagnosis petri net model building are improved.
Description
technical field [0001] The invention relates to the technical field of marine power station fault diagnosis, in particular to a rough set based petri net (Petri net is a mathematical representation of a discrete parallel system) marine power station fault diagnosis model building method. Background technique [0002] The power generation and distribution equipment and control system of the marine power station power system are quite complicated. The above-mentioned marine power station power system controls many devices, involves complex technologies, and its maintenance work is cumbersome. Therefore, ensuring the normal operation of the above-mentioned marine power station power system is to ensure the normal operation of the ship. important factor in the work. When the system fails, it is necessary to accurately and quickly identify the faulty area in a short time and determine the real faulty component, so that the faulty component will not affect the normal operation of ...
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IPC IPC(8): G06F19/00G01R31/08
Inventor 马良荔汪丽华孙煜飞苏凯覃基伟
Owner NAVAL UNIV OF ENG PLA