DYNAMIC INCOMPLETE PREVENTIVE MAINTENANCE OF WIND TURBINE BASED ON BOUNDARY INTENSITY PROCESS

被引：0

作者：

Ren, Lina ^{[1
]}

Li, Xueliang ^{[1
]}

Wang, Ziqian ^{[1
]}

Li, Kangning ^{[1
]}

机构：

[1] School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 12期

关键词：

boundary intensity process; dynamic PM interval; failure intensity; preventive maintenance; reliability; wind turbines;

D O I：

10.19912/j.0254-0096.tynxb.2023-1297

中图分类号：

学科分类号：

摘要：

To reduce equipment maintenance costs and minimize the resource waste, a reliability-constrained dynamic incomplete preventive maintenance(PM)method for wind turbines is proposed based on the boundary intensity process theory. The failure process of wind turbines is described using the boundary intensity process, and the age reduction factor and failure intensity increasing factor are introduced to give the failure intensity of the composite maintenance model. By minimizing the average maintenance cost as the objective function, the calculation formulas for the dynamic PM interval and replacement cycle of wind turbines are derived using an iterative method, and the optimal number of PM for wind turbines is determined. This article has been validated through an engineering example and compared with models based on the Weibull distribution and models that do not consider replacement thresholds. The results indicate that this method can reduce the average maintenance cost of wind turbines by 6.7% and 10.7% and prolong the lifespan by 342 days and 128 days, respectively. © 2024 Science Press. All rights reserved.

引用

页码：277 / 283

页数：6

共 22 条

[1]

XUE J Y., China’s new energy resource base and development prospects, Auto time, 9, pp. 12-13, (2021)

[2]

GUO M X., Current status and outlook of wind energy development in China, 2018 Seminar on Construction and Efficient Operation of Heating Projects, pp. 477-479, (2018)

[3]

WANG J H., Research on maintenance decision modeling and optimization of wind farm and wind turbine, (2020)

[4]

LUO H R., Research on maintenance decision of offshore wind turbine considering environmental factors, (2021)

[5]

XU M G, WANG Z, FU H, Et al., A preventive maintenance scheme for rotary ultrasonic vibration EDM machine tool based on PSO under reliability constraints [J], The international journal of advanced manufacturing technology, 124, 11, pp. 4603-4613, (2023)

[6]

LEE J, KIM B, AHN S., Maintenance optimization for repairable deteriorating systems under imperfect preventive maintenance[J], Mathematics, 7, 8, (2019)

[7]

ZHANG F X, MA Y Z, SHEN J Y, Et al., Optimal preventive maintenance policy considering imperfect inspection and limiting the number of minimal repairs for degradation system, Journal of mechanical engineering, 58, 16, pp. 441-454, (2022)

[8]

WANG J H, ZHANG X H, ZENG J C, Et al., Optimal dynamic imperfect preventive maintenance of wind turbines based on general renewal processes[J], International journal of production research, 58, 22, pp. 6791-6810, (2020)

[9]

RAZA A, ULANSKY V., Optimal preventive maintenance of wind turbine components with imperfect continuous condition monitoring, Energies, 12, 19, (2019)

[10]

ASSIS R, MARQUES P C., A dynamic methodology for setting up inspection time intervals in conditional preventive maintenance[J], Applied sciences, 11, 18, (2021)

← 1 2 3 →