Explore research-backed topics across maintenance, reliability, HVAC, electrical systems, PLC automation, utilities, solar energy and engineering management. SEA now highlights newly surfaced 2026 Google Scholar research alongside evergreen technical digests.
These six papers were selected from nine new 2026 Scholar results because they most closely match SEA's maintenance, reliability and electrical-learning focus.
Power-generation case study combining reliability-centered maintenance logic with preventive-maintenance methods.
Integrates production-job scheduling and PM planning instead of optimizing them independently.
Uses operational data and a Random Forest model to translate feeder failure risk into maintenance-priority indicators.
Compares generator downtime before and after implementation of a preventive-maintenance checklist.
Applies quantitative reliability analysis to maintenance-interval recommendations for critical valve components.
Reviews daily, weekly, monthly and annual preventive-maintenance activities for industrial material-handling equipment.
These links open live Google Scholar searches rather than copied paper content, helping the resource stay useful as new research is indexed.
Predictive maintenance combines condition data, failure history and analytical models to identify deterioration before functional failure.
RUL methods aim to estimate how long a component can continue operating before its degradation reaches an unacceptable condition.
Motor faults can often be detected through vibration, motor current signature analysis, temperature and other condition indicators.
HVAC FDD research focuses on recognizing abnormal operating patterns early enough to reduce comfort issues, energy waste and equipment stress.
Industrial automation faults frequently involve the boundary between PLC logic and real field devices: sensors, actuators, networks, drives and power supplies.
FMEA is proactive, RCA is event-driven and RCM helps choose maintenance strategies based on functions, consequences and failure behavior.
Energy-management research evaluates how PV generation, battery state of charge, tariffs, forecasts and load profiles can be coordinated.
Steam-system performance depends on more than boiler efficiency; distribution losses, failed traps, insulation, pressure control and condensate return all matter.
Variable-frequency drives can deliver large savings on suitable pump and fan applications when the process can operate efficiently at reduced speed.
Connected maintenance systems can combine work-order history, live condition data and asset models to improve prioritization and reliability decisions.
The newest papers sit alongside established references so learners can compare current approaches with earlier foundations.
A broad overview spanning data acquisition, health indicators and remaining-useful-life prediction.
Find on Google Scholar →A practical predictive-maintenance example applied to fault detection in industrial remote terminal units.
Find on Google Scholar →A condition-monitoring reference focused on fault diagnosis for industrial induction machines using signal-analysis techniques.
Find on Google Scholar →A useful starting point for understanding how optimization can schedule battery storage alongside photovoltaic generation.
Find on Google Scholar →Use SEA guides and free courses to turn research concepts into workplace troubleshooting, maintenance and energy-management skills.
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