<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Prognosis and Health Management (PHM) is the important technical means to achieve condition based maintenance(CBM), and Health assessment is the important part of the PHM system. PHM is widely used in aerospace area, But it lacks application in ground field, In order to improve the accuracy of self-propelled gun system health assessment, taking a certain self-propelled gun system as the object, in this paper, takes self-propelled gun as an example, divide it’s health status into 5 levels, for equipment that fails the test, it can be directly determined to be in a fault state; for equipment that has passed the test, and come up with a model of health assessment that based on D-S evidence theory, first, Select the health indicators which can comprehensively represent the status of propelled artillery, and use the normalized quantization method to Process the data. Then, employ the D-S evidence theory to make the integrated decision on the membership of each health parameter after treatment, finally, determine the ultimately health status of self-propelled artillery, the rationality of the method is verified by experiments.</p></abstract>

Prognosis and Health Management (PHM) is the important technical means to achieve condition based maintenance(CBM), and Health assessment is the important part of the PHM system. PHM is widely used in aerospace area, But it lacks application in ground field, In order to improve the accuracy of self-propelled gun system health assessment, taking a certain self-propelled gun system as the object, in this paper, takes self-propelled gun as an example, divide it’s health status into 5 levels, for equipment that fails the test, it can be directly determined to be in a fault state; for equipment that has passed the test, and come up with a model of health assessment that based on D-S evidence theory, first, Select the health indicators which can comprehensively represent the status of propelled artillery, and use the normalized quantization method to Process the data. Then, employ the D-S evidence theory to make the integrated decision on the membership of each health parameter after treatment, finally, determine the ultimately health status of self-propelled artillery, the rationality of the method is verified by experiments.

Health Assessment Based on D-S Evidence Theory of Equipment

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Health Assessment Based on D-S Evidence Theory of Equipment"}

Prognosis and Health Management (PHM) is the important technical means to achieve condition based maintenance(CBM), and Health assessment is the important part...

Health grade	grade description
health	The measured data are in the range and close to the standard parameter values, don’t require maintenance.
good	The measured data are all in the range, and some data are wandering in a small range, but far from the attention value, maintained as planned, Scheduled maintenance.
attention	The measured data are all within the range, and most of them swim and fail to reach the attention value.
deterioration	The measured data are all within the range, but some data are close to the attention value, which needs to be monitored and repaired as soon as possible.
failure	Some data have exceeded the value of attention and must be repaired and secured immediately.

Modified Parameters	Health Status Grade Membership					Weight
Modified Parameters	Health	Good	Attention	Deterioration	Failure	Weight
1	0	0.939	0.061	0	0	0.214
2	1	0	0	0	0	0.167
3	0.0435	0.9565	0	0	0	0.206
4	0.267	0.733	0	0	0	0.196
5	0	0.896	0.104	0	0	0.217

Param	Normalized Value	Health Status Grade Membership					Weight
Param	Normalized Value	Health	Good	Attention	Deterioration	Failure	Weight
1	0.7817	0	0.939	0.061	0	0	0.214
2	1.0000	1	0	0	0	0	0.167
3	0.8087	0.0435	0.9565	0	0	0	0.206
4	0.8534	0.267	0.733	0	0	0	0.196
5	0.7688	0	0.896	0.104	0	0	0.217

Health Assessment Based on D-S Evidence Theory of Equipment

Online veröffentlicht: 11. Jan. 2021

Seitenbereich: 15 - 26

DOI: https://doi.org/10.21307/ijanmc-2020-033

Schlüsselwörter
Self-Propelled Guns, D-S Evidence Theory, Health Assessment

© 2020 Tanghui Sun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

HEALTH STATUS LEVELS AND DESCRIPTION

BASIC PROBABILITY ASSIGNMENT AFTER PARAMETER MODIFICATION

HEALTH STATUS ASSESSMENT RESULTS OF SELF-PROPELLED ARTILLERY PARAMETERS

Health Assessment Based on D-S Evidence Theory of Equipment

Online veröffentlicht: 11. Jan. 2021

Seitenbereich: 15 - 26

DOI: https://doi.org/10.21307/ijanmc-2020-033

SchlüsselwörterSelf-Propelled Guns, D-S Evidence Theory, Health Assessment

© 2020 Tanghui Sun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

HEALTH STATUS LEVELS AND DESCRIPTION

BASIC PROBABILITY ASSIGNMENT AFTER PARAMETER MODIFICATION

HEALTH STATUS ASSESSMENT RESULTS OF SELF-PROPELLED ARTILLERY PARAMETERS

Schlüsselwörter
Self-Propelled Guns, D-S Evidence Theory, Health Assessment