Predictive maintenance is the key to reducing downtime, cutting costs, and boosting equipment performance. But without the right tools and strategy, manufacturers risk unexpected failures, inefficient repairs, and lost productivity.
In this whitepaper, you’ll discover:
✅How to increase overall equipment effectiveness and total performance maintenance without major costs and effort
✅The role of predictive maintenance
✅Data and AI - the revolution in maintenance
✅From theory to practice: reduced downtimes on machine tools with AI
Download now and take the first step toward smarter, AI-driven equipment performance.
（国际）竞争日益激烈、成本压力不断加剧、大规模人才短缺、工业4.0等等。作为一家生产性企业，您今天面临着各种各样的挑战。此外，您还面临着日常挑战，如机器和设备的维护与保养。
要在市场上成功立足，最重要的是，要尽可能提高机器和设备的生产率。衡量以及提供这一点最重要的指标是整体设备效率，即 OEE (Overall Equipment Effectiveness)。OEE 值表示您的机器和设备在计划生产时间期间相对于其全部潜力的有效利用情况。这样，可以更好地识别和评量在可用性、性能和质量方面的损失。
那么，如何提高企业的 OEE 呢？
一个关键的决定性因素是计划外停机。显然，设备可用性低意味着 OEE 低。那么如何避免停机呢？消除原因。除了人为错误和材料短缺外，原因主要在于组件和系统的计划外故障。尤其是小型组件如气缸发生故障，可能会产生巨大的影响。
其实我们完全可以避免生产过程中的这类故障，并提高整体设备效率。
在昂贵的生产中，即使计划外停机一分钟都可能会导致高达 10,000 欧元的损失！这就有 10,000 个充分的理由来修订和优化过时的维护方案。特别是，由于大多数因气缸等组件故障引起的计划外停机可以通过预测性维护轻松避免。
使用人工智能解决方案进行预测性维护
那么，究竟什么是可预见的维护呢？
通过对机器和设备进行持续状态监控，及早发现关键事件或不知不觉产生的偏差。安装在机器和设备上的传感器收集并发送数据，这些数据继而被传输给系统或人工智能。人工智能基于所获得的数据和计算结果，从中推导出适当的维护和维修措施。
这不仅可监控气缸等组件的当前状态，还可预测系统的潜在故障和异常。这样，在故障发生前就已经启动维护和保养，从而避免计划外停机。
Classic tools such as operating or machine data logging have been used for a long time for diagnostics and root cause analysis.
However, they have some disadvantages compared to predictive maintenance:
With standardised AI apps for predictive maintenance, Festo is making predictive maintenance accessible and scalable for everyone. One of these is Festo AX Motions Insights Pneumatic, the AI app for pneumatic cylinders from all manufacturers. The app immediately detects anomalies and malfunctions in pneumatic drives or the control chain, helping to prevent machine downtime due to component failure.
Optimising overall equipment effectiveness using predictive maintenance is an important step for manufacturing companies to achieve greater efficiency and competitiveness. By integrating AI solutions such as Festo AX Motions Insights Pneumatic into your systems, you can easily improve maintenance and servicing and minimise unplanned downtime. AI enables you to optimise your production and the key company figures.
Future developments and trends such as the Internet of Things (IoT) and machine learning will continue to improve and boost predictive maintenance solutions. This means that companies that already rely on AI solutions will increase their OEE figures and secure a clear competitive advantage. So what are you waiting for?