Applied-Maintenance-Technology’s Post

#AI methods for #process data analysis can provide plant operators with much needed insights for decision support and #predictive plant #maintenance strategies. Read more about it in Monica Hildinger’s blog article describing the use of AI-based process analysis and optimization in a concrete project here: https://sie.ag/35bfSLv

The Power of AI: Transforming Industries Worldwide Artificial Intelligence (AI) is no longer a buzzword, it's a transformative force that’s reshaping industries globally. From my experience leading strategic projects across multiple sectors, I’ve seen how AI-driven solutions can unlock efficiency, enhance decision-making, and create new growth opportunities. https://lnkd.in/eHYTcJbV Here’s how AI is making an impact across industries: 🔧 Manufacturing: Predictive maintenance is reducing downtime and extending asset life, while smart automation is enhancing productivity. https://lnkd.in/ezS6gwY5 🏥 Healthcare: AI-driven diagnostics and predictive analytics are improving patient outcomes, enabling more accurate diagnoses, and optimizing hospital operations. https://lnkd.in/eAGB_qaW 📦 Supply Chain: AI optimizes inventory management, streamlines logistics, and predicts demand, helping businesses stay agile in a volatile market. https://lnkd.in/eFVkcmJM 💼 Finance: AI models are enhancing fraud detection, automating customer service through chatbots, and driving smarter investment strategies. https://lnkd.in/e-7RVCxQ 🌍 Energy: AI is optimizing energy usage and improving efficiency in production and distribution, leading to more sustainable practices. https://lnkd.in/eiuKkh88 Integrating AI isn’t just about technology; it’s about strategy. Companies need clear roadmaps, stakeholder buy-in, and a focus on data to successfully adopt and scale AI solutions. The potential is limitless, and as AI continues to evolve, the opportunities for businesses to innovate will only grow. #AI #ArtificialIntelligence #Innovation #DigitalTransformation #Industry4_0 #DataDriven

The Value of Predictive Maintenance Being able to see the future of your machine’s health creates a profit center for your equipment. #AI #predictivemaintenance Learn more: https://hubs.ly/Q02yKXf50

The Value of Predictive Maintenance Being able to see the future of your machine’s health creates a profit center for your equipment. #AI #predictivemaintenance Learn more: https://hubs.ly/Q02yKXg40

The Value of Predictive Maintenance Being able to see the future of your machine’s health creates a profit center for your equipment. #AI #predictivemaintenance Learn more: https://hubs.ly/Q02yKXjK0

Looking to streamline your manufacturing operations and reduce costs? By leveraging the latest in AI and predictive maintenance, Ollion can help your organization develop high-quality predictive models that provide early warning signs for your equipment, avoiding costly expenses and reducing unnecessary maintenance tasks. Check out the Data Science Starter Kit to learn more: #Ollion #AI #DataScience https://lnkd.in/guQQB6-5

Another Predictive Maintenance application is explained here: https://lnkd.in/gfjbdBRP

This article will explore the methodology required to develop predictive maintenance algorithms for complex systems, such as internal combustion (IC) engines or Jet Engines, which exhibit highly dynamic operating behaviors and conditions. Given the complexity of these systems, different anomalies may have distinct indicators. Identifying the best features to detect all types of anomalies necessitates substantial domain expertise. Additionally, it outlines the comprehensive methodology for condition monitoring and predictive maintenance of such complex systems. #AI #PredictiveMaintenance #Industry4

GREY WATER TREATMENT SYSTEM In the automation control systems we can categorise the control points into : 1. Digital input points where signals show status either on or off/ low or high like tank level. in this case signal we allow system to decide something for example if water level is high in collection tank then it will run all plant and stop lifting station pump simultaneously and it will protect system from dry run scenario. 2. Digital output give command on or to the plant and peripherals for example if production tank full signal received , then PLC will shut down feed pumps, dosing pumps, blowers...etc 3.analog input like flow rate is below a certain value then system will run back wash or will send error code to clean strainer. 4.analogue output for module actuator or VFD connected to pumps. 5. P.digital for resetting command. 6. P. analogue for set point. will go through actual case study parameters considering GWTP as real example.

Discover the benefits of Predictive Maintenance in our latest whitepaper, featuring key technologies, real-life case studies, and strategies for cost savings and efficiency. Click here https://lnkd.in/gN3_hk49 #ai #ml #manufacturing #predictivemaintenance #bigdata #dataanalytics #digitaltransformation