Intelligence for Tomorrow
Founded in 2011, Enging is an innovative Portuguese company, specialized on advanced predictive maintenance and fault detection technological solutions to monitor the condition of the electric machines.
Founded in 2011, Enging is an innovative Portuguese company, specialized on advanced and disruptive industrial Predictive Maintenance and Fault Detection solutions for Transformers, Rotating Machines and Power Electronics.
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Unplanned failures in power and distribution transformers can lead to production downtime, financial losses, and safety hazards. Our company specializes in providing cutting-edge solutions for predictive maintenance, ensuring that industrial assets remain operational, efficient, and protected from costly failures.
Enging is a leading provider of innovative predictive maintenance technology, offering state-of-the-art solutions designed to enhance the reliability and performance of power and distribution transformers. With years of experience in industrial automation and asset protection, we help companies transition from reactive maintenance to a proactive and predictive approach.
What We Offer
Our comprehensive range of products includes advanced monitoring software powered by model-based driven analytics. These tools work seamlessly together to track equipment performance in real time, analyze data, and predict potential failures before they occur.
Why Choose Us?
Our Commitment
We are committed to delivering reliable, scalable, and efficient predictive maintenance solutions tailored to the unique needs of each industrial client. By leveraging advanced technology, we empower businesses to take control of their maintenance strategies, improve asset reliability, and achieve long-term cost savings.
Partner with us today and future-proof your industrial operations with our cutting-edge predictive maintenance solutions. Protect your assets, reduce risks, and maximize efficiency like never before.
Founded in 2011, Enging is an innovative Portuguese company, specialized on advanced predictive maintenance and fault detection technological solutions to monitor the condition of the electric machines.
PreditMot is a non‑invasive, real‑time predictive maintenance system for water utilities that uses electrical signature analysis and advanced diagnostics to detect early motor and pump faults, monitor efficiency, reduce downtime and costs, and quantify financial and energy savings.
This white paper describes how ENGING’s PreditTransf continuous monitoring and physics-based electrical signature algorithms detect early OLTC controller failures in power transformers—preventing extended downtime, reducing maintenance costs (up to €1M avoided), and enabling proactive, data-driven asset management.
A case study demonstrating how ENGING’s PreditWindT real-time electrical signature analysis detected an emerging cable-joint insulation fault in a wind turbine—enabling planned repair, avoiding 48+ hours of unplanned downtime and ~$20K in losses, and validating the value of predictive maintenance for grid-side electrical reliability.
Enging’s predictive electrical-signature monitoring detected early signs of kiln crank effect—confirmed by spectral and thermal analysis—enabling a timely intervention that prevented permanent kiln deformation, avoided an unplanned stoppage, saved $350K, and averted a potential 15% efficiency loss.
Enging's predictive electrical-signature monitoring detected rising mechanical-fault indicators in a cement mill's silos feeding elevator—prompting replacement of a damaged rubber coupling, sprockets, and drive chains that prevented an unplanned stoppage, restored normal operation, and saved roughly $10k while avoiding an estimated 5% efficiency loss.
ENGING’s PreditPV detects early electrical anomalies in solar inverter contactors—enabling predictive maintenance that prevents unplanned shutdowns, reduces downtime and lost production, and improves overall PV plant reliability and energy yield.
The Silos Feeding Elevator plays a crucial role in the cement production process, particularly in the stage where raw materials such as clinker, gypsum, and additives are transported to the mill.