Industry 4.0 is a tsunami that will invade the whole world. The real challenge of the future factories requires a high degree of reliability both in machinery and equipment. Thereupon, shifting the rudder towards new trends is an inevitable obligation in this fourth industrial revolution where the maintenance system has radically changed to a new one called predictive maintenance 4.0 (PdM 4.0). This latter is used to avoid predicted problems of machines and increase their lifespan taking into account that if machines have not any predicted problem, they will never be checked. However, in order to get successful prediction of any kind of problems, minimizing energy and resources consumption along with saving costs, this PdM 4.0 needs many new emerging technologies such as the internet of things infrastructure, collection and distribution of data from different smart sensors, analyzing/interpreting a huge amount of data using machine/deep learning…etc. This paper is devoted to present the industry 4.0 and its specific technologies used to ameliorate the existing predictive maintenance strategy. An example is given via a web platform to get a clear idea of how PdM 4.0 is applied in smart factories.

工业4.0是将席卷全球的海啸。未来工厂的真正挑战在于机械和设备的高度可靠性。因此，在第四次工业革命中，将方向舵转向新趋势是不可避免的义务，在第四次工业革命中，维护系统已从根本上更改为一种称为预测性维护4.0（PdM 4.0）的新系统。后者用于避免机器的预期问题，并考虑到如果机器没有任何预期的问题，则永不对其进行检查，从而延长其使用寿命。但是，为了成功预测任何类型的问题，同时最大程度地减少能源和资源消耗并节省成本，此PdM 4.0需要许多新兴技术，例如物联网基础设施，收集和分配来自不同智能传感器的数据，使用机器/深度学习等方法分析/解释大量数据。本文致力于介绍工业4.0及其用于改善现有预测性维护策略的特定技术。通过Web平台给出了一个示例，以清楚地了解PdM 4.0如何在智能工厂中应用。