| 查看: 832 | 回复: 1 | ||
| 本帖产生 1 个 翻译EPI ，点击这里进行查看 | ||
sun_y_q银虫 (正式写手)
|
[求助]
求助中译英---在理论研究的基础上，系统地研究了
|
|
|
在理论研究的基础上，系统地研究了风力发电机组可靠性增长评估与预测方法。在方案论证与设计阶段，探讨了兆瓦级风电机组系统可靠性综合与预测的方法；在现场调试、试运行阶段，基于Bayes定理在无信息先验和均匀先验下对风力发电机组可靠性增长进行预测；在运行阶段，探讨了利用现场运行数据动态评估风电机组可靠性，预测机组未来故障发生时间的方法，进一步研究了在含延缓纠正的风电机组可靠性增长预测的相关问题；面向维修管理，探讨了风电机组关键零部件储备数量的预测问题。以上研究对于风力发电机组可靠性分析、健康运行维护、科学管理与决策等都具有重要意义。 On the basis of theory studies, wind turbine reliability growth assessment and prediction method were studied systematically. System reliability synthesis and prediction method of the MW level of wind turbine were discussed during the scheme demonstration and design stage. Wind turbine reliability growth bayes statistical inference was analyzed based on non-information prior and uniform prior information in the field debugging and trial operation stage. In the operation stage, dynamic reliability assessment and prediction method based on AMSAA model were studied using field data, further research on the problems of wind turbine reliability growth prediction was studied with instant and delayed corrective actions. And the reliability growth prediction for the key components reserve number of the wind turbine was discussed for maintenance and management. The above studies play an important role in the wind turbine reliability analysis, operation and maintenance, scientific management and decision-making. |
回复此楼» 猜你喜欢
277求调剂 数一104分
已经有13人回复
-
304求调剂
已经有10人回复
-
求调剂
已经有5人回复
-
336求调剂，一志愿中科大
已经有6人回复
-
071000生物学，一志愿深圳大学296分，求调剂
已经有3人回复
-
一志愿北京化工085600 310分求调剂
已经有19人回复
-
274求调剂求调剂
已经有7人回复
-
277工科求调剂
已经有10人回复
-
283分求调剂
已经有10人回复
-
295求调剂
已经有16人回复
zuodg
铁杆木虫 (正式写手)
有为青年
- 翻译EPI: 180
- 应助: 5 (幼儿园)
- 贵宾: 0.015
- 金币: 6765.2
- 散金: 48
- 红花: 18
- 帖子: 500
- 在线: 285.5小时
- 虫号: 1055187
- 注册: 2010-07-10
- 性别: GG
- 专业: 外国语言
【答案】应助回帖
sun_y_q(金币+10, 翻译EPI+1): 2011-06-13 00:07:08
|
On the basis of theoretical studies, we investigated assessment and prediction method of wind turbine reliability growth. In the scheme demonstration and design stage, we discussed system reliability synthesis and prediction method of the MW level wind turbine. In the field debugging and trial operation stage, based on Bayes statistical inference with non-information prior and uniform prior information, we predicted wind turbine reliability growth. In the operation stage, based on AMSAA model, we discussed dynamic reliability assessment and prediction of possible fault using field data. Further we studied the problems of wind turbine reliability growth prediction was with instant and delayed corrective actions. We discussed the reliability growth prediction for the key components reserve number of the wind turbine For the maintenance and management. The above studies play an important role in the wind turbine reliability analysis, operation and maintenance, scientific management and decision-making. |
2楼2011-06-12 23:13:59
