This month's Insight

Comment, by D Manning-Ohren

NEWSDESK: Powering next-generation technology for offshore wind innovation; Reliable and precise detection of inclusions in aluminium melts using ultrasound

Institute News


SPECIAL FEATURE: CONDITION MONITORING

Integrated dashboard and web-based real-time condition monitoring of switched reluctance motors using advanced programmable logic controllers,

by B Gecer, N F O Serteller, A N Akpolat and M Gol

A multi-criterion hybrid expert model for health assessment and maintenance of power transformer insulation,

by M Gopi, C Ranga and K M Jagtap

A dual-branch transformer-based approach for corrosion detection of lightning receptors in wind turbine blades,

by Jun Li, Xiaole Cheng, Jiahui Tang, Xiaohui Zhao and Chenghao Bian

A data-driven fault diagnosis method for rolling bearings: a model based on MorletConv CNN interpretability,
by Taoyang Zhan, Kang Han, Yuhan Huang, Xinyang Cui and Rui Wang

Machine learning versus model-driven solution for unbalance and misalignment fault detection,
by A Marzougui, A Hachem and T Mazoyer

Machine learning-based feature-driven model generation and evaluation for multi-fault bearing diagnosis using XGBoost and time-domain statistical features of vibration data,
by A R Bhende