What Technologies are Used in Predictive Maintenance for Catalysis?
Several technologies contribute to the implementation of predictive maintenance in catalysis:
IoT Sensors: Internet of Things (IoT) sensors are critical for real-time data collection, monitoring various operational parameters. Big Data Analytics: Big data analytics processes vast amounts of data to uncover trends and make predictions. Machine Learning: Machine learning algorithms learn from historical data to improve the accuracy of predictive models. Cloud Computing: Cloud platforms provide the computational power and storage needed for data processing and analysis. Digital Twins: Digital twins create virtual models of catalytic systems, enabling simulations and predictive analysis.
