ABB-Driven Research Project EXPLAIN Wins Prestigious AI Innovation Award
Industrial AI Recognition Strengthens Digital Transformation
ABB has received the 2025 Award of Excellence for Innovation from
ITEA. The award recognizes the EXPLAIN project, an EU-backed initiative focused on explainable artificial intelligence.Moreover, this recognition highlights the growing importance of transparent AI in industrial automation. Therefore, manufacturers increasingly adopt AI-driven control systems to improve decision-making.
Explainable AI Enhances Trust in Industrial Automation Systems
The EXPLAIN project aims to make AI models transparent and understandable for operators. However, traditional AI systems often act as “black boxes.”Therefore, explainable AI (XAI) enables engineers to interpret system behavior clearly. In addition, it allows operators to interact with AI outputs in PLC and DCS environments. This improves trust and usability in factory automation systems.
Collaborative Research Drives Advanced Control Systems Innovation
ABB collaborated with research institutes and industry partners across Germany, Sweden, and the Netherlands. Moreover, the project combined academic research with real industrial use cases.As a result, the consortium developed practical AI solutions for process industries. These solutions integrate with existing control systems and support digital transformation strategies.
Mining Automation: AI Optimizes Flotation Processes
In the mining sector, ABB partnered with
Boliden to improve flotation efficiency. The AI system analyzes process data and recommends adjustments.Therefore, operators achieve better process stability and resource utilization. In addition, explainable outputs help engineers validate AI decisions in real time.
Pulp and Paper Industry: AI Improves Process Stability
ABB also worked with
Södra to enhance pulp quality in digester processes. The system focuses on stability and operator usability.Moreover, human-centered design ensures that operators understand AI recommendations. As a result, process control becomes more reliable and efficient.
Energy Sector: AI-Based Anomaly Detection in Power Systems
In collaboration with
LEAG, ABB developed an AI-driven anomaly detection solution. The system explains faults, locations, and root causes.Therefore, power plant operators gain deeper insights into system behavior. In addition, this improves safety and reliability in energy control systems.
Scaling AI Across Industrial Automation Applications
The next phase of the EXPLAIN project focuses on scaling solutions across industries. Moreover, broader adoption will enhance data-driven operations.As a result, companies can optimize performance across factory automation, PLC systems, and DCS platforms. This supports long-term digital transformation goals.
About the EXPLAIN Project: Industry-Focused AI Innovation
The EXPLAIN project ran from 2022 to 2025 with 15 partners. It produced new XAI methods, tested prototypes, and over 70 research contributions.In addition, the project released a practical guide for explainable AI in industrial environments. Therefore, it provides valuable resources for engineers and system integrators.
About ABB: Leader in Industrial Automation and Electrification
ABB delivers solutions in industrial automation, electrification, and digitalization. The company operates globally with over 100,000 employees.Moreover, ABB integrates AI with PLC and DCS technologies to improve productivity and sustainability. This strengthens its leadership in factory automation.
Expert Insight: Explainable AI as a Key Trend in Factory Automation
From an industry perspective, explainable AI represents a critical shift in automation strategy. However, trust remains a major barrier to AI adoption.Therefore, transparent AI models will accelerate deployment in control systems. In addition, operators can validate AI outputs before executing actions.Companies should invest in AI solutions that integrate with existing PLC and DCS platforms. This ensures smoother adoption and reduces operational risks.
Application Scenario: AI-Driven Control Systems in Process Industries
In a typical plant, sensors collect process data across production stages. AI models analyze trends and detect anomalies.Meanwhile, PLC and DCS systems execute control actions based on AI insights. Operators monitor results through HMI interfaces with explainable outputs.As a result, plants achieve higher efficiency, reduced downtime, and improved safety.
ABB-Driven Research Project EXPLAIN Wins Prestigious AI Innovation Award