A公司风机设备故障诊断优化方案设计-中国政法大学MBA.DOCVIP

绪论 中国政法大学硕士学位论文 基于大数据的风机设备故障诊断研 16 PAGE \* MERGEFORMAT7 论文编号： 基于大数据的风机设备故障诊断研究 ——以A公司风机设备故障诊断为例 专业： 工商管理 研究方向： 市场营销与现代流通 学生： 刘继峰 学号： 1301362169 班级： 2013级MBA集中班C1 中国政法大学研究生院 二○一七年三月 基于大数据的风机设备故障诊断研究 —以A公司风机设备故障诊断为例 摘 要 随着目前雾霾天气在中国不断地出现，以风能、地热能、海洋能、太阳能等为代表的的新能源日益受到人们的关注，国家对于我国能源结构的调整也逐步加快。然而，还要将这些新能源转换成人们日常所需的电能。 伴随着科学技术进步和市场变化，风力发电的传统运维方式已经很难满足现代企业的发展需要。近年来，随着大数据技术普及应用，风电运维领域结合大数据技术是未来风电企业的发展方向。 本文选取一家典型的风机设备生产制造厂商（以下简称A公司），分析该公司在国内外大环境下的竞争和机遇，分析A公司的发展瓶颈，通过大数据的方法解决A公司面对的难点和痛点。 本文以A公司的风机故障诊断为研究对象，以目前风机诊断方式为起点，分析A公司的风机故障诊断模式，发现目前存在的问题；精确预测风机设备的故障发生概率，提高风场运维的工作效率，进而提升企业的市场竞争力,同时也希望能够为国内风电设备企业的设备故障诊断问题提供参考和解决思路。 关键词：风机 大数据 故障诊断 STUDY OF EQUIPMENT FAULT DIAGNOSIS FOR WIND TURBINE BASED ON BIG DATA TECHNOLOGY —THE WIND TURBINE FAULT DIAGNOSIS OF A COMPANY ABSTRACT With the fog and haze weather continues to appear, the state for the energy structure of the adjustment faster and faster. The public is full of expectations for new energy. However, these new energy sources still need to be converted into electrical energy. Because of this, smart grid construction has become the top priority of the work. With the scientific and technological progress and market changes, the traditional operation and maintenance methods have been difficult to meet the development needs of modern enterprises. With the scientific and technological progress and market changes, the traditional operation and maintenance methods have been difficult to meet the development needs of modern enterprises. Big data is a disruptive technology after cloud computing and Internet of Things technology. Big data technology is like the 21st century oil and gold, is another key resource that enhance the comprehensive competitiveness.  A company is the wind turbine equipment manufacturing manufacturers. For more than and 10 years, A company has been committed to wind power products R D, manufacturing, sales and service. With the rapid dev