Scientists have developed a machine-learning model – utilizing K-Means and long short-term memory techniques – that aims to overcome ‘fault detection and classification’ in the operation and ...
The Managing Director and Chief Executive Officer of the Niger Delta Power Holding Company (NDPHC), Jennifer Adighije, has disclosed ...
Critical pipeline systems are the backbone of modern industrial operations and global economic development, transporting oil, ...
Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets looking to harness machine learning to minimize equipment maintenance costs.
Electrical services has evolved from reactive maintenance to advanced condition monitoring, utilizing real-time data and ...
The Niger Delta Power Holding Company has adopted artificial intelligence and machine learning technologies to predict equipment failures and improve the performance of its power plants as part of ...
The high-pressure pulsation test (HPPT) bench is used to test the functionality and resilience of components under high pressure and pulsation. In highly automated machining systems, it is vital to ...
What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...
What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...