Early Detection of Faulty Contactors in Solar Inverters
ENGING’s PreditPV detects early electrical anomalies in solar inverter contactors—enabling predictive maintenance that prevents unplanned shutdowns, reduces downtime and lost …
White Papers
-
-
Rubber Coupling and Sprocket Failures in Cement Mill Elevator
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 …
-
Case Study: Kiln Crank Effect
Enging’s predictive electrical-signature monitoring detected early signs of kiln crank effect—confirmed by spectral and thermal analysis—enabling a timely intervention that …
-
Simulating Investment Decisions in Hydropower: Case Studies on Greenfield Development and Refurbishment of Existing Assets
Strategic hydropower investments demand precision. Discover Investment Decision Simulation (IDS), a digital methodology that leverages digital twins and ML-based forecasting …
-
The hidden risks behind AI adoption in energy
This white paper argues that while AI offers transformative efficiency and sustainability benefits for the energy sector, realizing that potential …
-
Software governance in the AI era
This white paper provides CTOs (and CIOs) with a four-stage maturity framework—from Stagnation to Transformation—to diagnose their software and governance …
-
Cable Junction Anomaly in Wind Turbines
A case study demonstrating how ENGING’s PreditWindT real-time electrical signature analysis detected an emerging cable-joint insulation fault in a wind …
-
Early Failure Detection of OLTC Controller
This white paper describes how ENGING’s PreditTransf continuous monitoring and physics-based electrical signature algorithms detect early OLTC controller failures in …
-
PreditMot
PreditMot is a non‑invasive, real‑time predictive maintenance system for water utilities that uses electrical signature analysis and advanced diagnostics to …
-
AI Readiness for Energy Leaders
Nearly 75% of AI systems face quality issues, yet energy companies are racing to adopt AI for grid modernization, resilience, …
-
Defend Your Grid from Cyber Risk
67% of energy systems have below-average security, with an average of 19 vulnerabilities per system. Cyberattacks on utilities are rising—costing …
-
Seven Software Risks Energy Leaders Can’t Ignore in 2025
67% of energy systems fall below security benchmarks, 42% lag on build quality, and 73% of AI platforms face structural …
-
Guide to Safety for the Construction Industry
Despite new technology, updated regulations, and improved awareness, construction remains one of the most dangerous industries in North America. Why? Because …
-
Care, maintenance, and testing of hot line tools
Part of our continuing effort here at HASTINGS is to provide you, the customer, not only quality hot line tools …
-
Seven Software Risks Every Energy Leader Must Tackle in 2025
67% of energy systems have below-average security, while 73% of AI platforms carry structural flaws. As energy leaders modernize grids …