I’ve been exploring how AI can optimize predictive maintenance in manufacturing systems… Recently, I integrated machine learning algorithms into our PLC interface, which improved our downtime forecasting by about 30%. I’m curious about what tools or methodologies others have found effective in similar applications.
I’ve had some luck using AI-driven anomaly detection for equipment failures. It really helps catch issues before they escalate, especially when combined with real-time data from sensors. You might want to look into TensorFlow Extended; it’s great for building robust pipelines. Just be cautious about the data quality, as it can make a huge difference.