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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轴承故障诊断的模糊形式系统综述

轴承是旋转机器（发动机、齿轮箱、发电机、雷达、涡轮机等）中的基本机械部件，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）成为一个与经济非常相关的主题，同时也是该主题的大量研究文献评估的具有技术挑战性的主题。本文采用系统的方法对2000年至2017年（3月）期间轴承故障诊断模糊形式的主要文献进行识别、总结、分析和解释。主要贡献是更新、无偏见和（在更高的范围内）可重复搜索、审查和分析（总结、分类和批评）在这个流行主题中诉诸模糊形式的可用方法。提供了关于一个新的有前途的未来研究方向的讨论。还包括完整的参考文献列表。