Equipment state prediction method based on fault tree information

A prediction method and technology of equipment status, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as ineffective fault prediction

Active Publication Date: 2011-01-19
JIANGSU GREEN LEAVES MACHINERY +1
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Problems solved by technology

[0015] In order to overcome the deficiency that the prior art cannot effectively predict faults, the present invention provides an equipment state prediction method based on fault tree information, which

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  • Equipment state prediction method based on fault tree information
  • Equipment state prediction method based on fault tree information
  • Equipment state prediction method based on fault tree information

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[0050] The invention belongs to the field of equipment maintenance and security, in particular to a state prediction method for assigning real-time state probability distribution information to equipment based on fault tree information and detection information.

[0051] refer to figure 1 , a device state prediction method based on fault tree information of the present invention includes the following steps:

[0052] Step 1: Determine a device failure mode that needs to be predicted, and search the fault tree for the fault tree model F with the failure mode as the top event. The specific method is as follows:

[0053] In this embodiment, taking "the tank main clutch pedal is too heavy" as the failure mode, the fault tree model F established based on the tank main clutch pedal fault tree information is as follows: figure 2 The event information it contains is shown in Table 1.

[0054] Table 1

[0055] serial number

[0056] In step 2, all events in the event set ...

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Abstract

The invention discloses an equipment state prediction method based on fault tree information, comprising the following steps: firstly, searching a fault tree model, representing each event in the model by different variables, and representing a logic gate in the model by the structural relationship set of the variables; successively calculating fault reason variable prior probability distribution sets in a fault prediction model; calculating the conditional probability distribution of a fault mode variable and the conditional probability distribution of a fault transferring variable in the fault prediction model; representing the practical fault detection phenomenon of the equipment by a corresponding fault detection variable in the fault prediction model; according to incidence relation represented in the structural relationship set of the fault detection variables, calculating the conditional probability distribution of the fault detection variable in the fault prediction model; and according to the fault detection phenomenon real-time information collected on site, calculating equipment fault mode posterior probability state distribution. The invention can quickly and accurately predict the real-time state of the equipment, guides the monitoring and maintenance for equipment, effectively improves the maintenance efficiency and lowers the maintenance cost.

Description

technical field [0001] The invention belongs to the field of equipment maintenance and guarantee, and in particular relates to a method for predicting the state of equipment. Background technique [0002] With the rapid development of equipment design technology, equipment manufacturing technology and information technology, traditional equipment is gradually becoming integrated and intelligent, and its internal structure and correlation are becoming increasingly large, resulting in the status distribution of its components and the relationship between components of the equipment system. presents great complexity. It is difficult for maintenance personnel to predict the true state of the equipment, and under-maintenance or over-maintenance often occurs, which brings huge challenges to equipment maintenance and guarantee work. Equipment failure prediction is a multidisciplinary comprehensive technology involving machinery, electronics, materials, control, communication, comp...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 蔡志强司书宾孙树栋王宁兑红炎李淑敏张莉莉
Owner JIANGSU GREEN LEAVES MACHINERY
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