With big data era coming and sensors widely used in various industries, the traditional equipment manufacturing is booming. Technology relating to mechanical equipment failure analysis and prediction were discussed. Taking motorized spindle fault analysis of the wall plate milling machine as an example, the paper proposesa method for fault detection and early warning .This method not only provides decision supports for production process, but also offers references for equip-ment production, featuring a wide application prospect.%随着大数据时代的到来和传感器在各个行业的广泛应用，传统装备制造业焕发出勃勃生机。首先对机械装备故障分析与预测的相关技术展开论述，结合实际业务需求，以机械加工壁板铣床电主轴故障分析为例，提出一种利用数据融合方式进行故障检测与预警的方法。该方法不仅可以实现为生产制造提供决策支持，还能为装备生产提供借鉴，具有广泛的应用前景。
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