Bearings are fundamental mechanical components in rotary machines (engines, gearboxes, generators, radars, turbines, etc.) that have been identified as one of the primary causes of failure in these machines. This makes bearing fault diagnosis (detection, classification, and prognosis) an economic very relevant topic, as well as a technically challenging one as evaluated by the extensive research literature on the subject. This paper employs a systematic methodology to identify, summarize, analyze, and interpret the primary literature on fuzzy formalisms for bearing fault diagnosis from 2000 to 2017 (March). The main contribution is an updated, unbiased, and (to a higher extend) repeatable search, review, and analysis (summary, classification, and critique) of the available approaches resorting to fuzzy formalisms in this trendy topic. A discussion on a new promising future research direction is provided. A comprehensive list of references is also included.

中文翻译：

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用于轴承故障诊断的模糊形式系统评价


轴承是旋转机械（发动机、齿轮箱、发电机、雷达、涡轮机等）的基本机械部件，已被确定为这些机器故障的主要原因之一。这使得轴承故障诊断（检测、分类和预测）成为一个经济上非常相关的主题，同时也是一个技术上具有挑战性的主题，正如有关该主题的广泛研究文献所评估的那样。本文采用系统的方法对 2000 年至 2017 年 （3 月） 用于轴承故障诊断的模糊形式的原始文献进行识别、总结、分析和解释。主要贡献是对这个时尚话题中采用模糊形式主义的可用方法进行更新的、公正的和（更高程度的）可重复的搜索、审查和分析（总结、分类和批评）。本文对新的有前途的未来研究方向进行了讨论。还包括一个完整的参考资料列表。