Deep learning has greatly increased the capabilities of "intelligent" technical systems over the last years [1]. This includes the industrial automation sector [1]-[4], where new data-driven approaches to, for example, predictive maintenance [2], computer vision [3], or anomaly detection [4], have resulted in systems more easily and robustly automated than ever before.

中文翻译：

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工业自动化的深度迁移学习：数据驱动机器学习新技术回顾与讨论

在过去几年中，深度学习极大地提高了“智能”技术系统的能力[1]。这包括工业自动化领域 [1]-[4]，其中新的数据驱动方法，例如预测性维护 [2]、计算机视觉 [3] 或异常检测 [4]，使系统更容易并且比以往任何时候都强大的自动化。