Planetary gearboxes have various merits in mechanical transmission, but their complex
structure and intricate operation modes bring large challenges in terms of fault diagnosis …

Prognostics and health management (PHM) plays a constructive role in the equipment's
entire life health service. It has long benefited from intensive research into physics modeling …

Artificial intelligence (AI) as a multi-purpose technology is gaining increased attention and is
now widely used across all sectors of the economy. The growing complexity of planning and …

Spectral coherence (SCoh) consists of spectral and cyclic frequencies and exhibits unique
merits in simultaneously revealing the resonance frequency band and the fault characteristic …

Spectrum correlation (SC), as a typical demodulation algorithm, has been investigated for
fault extraction by restraining interference components. However, SC ignores the uneven …

Large amounts of unlabeled data are produced from wind turbine condition monitoring
systems to catch their operational status. With this unmanageable amount of data …

This paper proposes a new model, called rotor finite element mimetic neural network
(RFEMNN), for diagnosing rotor unbalance and shaft crack faults. RFEMNN uses a …

Condition monitoring plays a vital role in ensuring the reliability and optimal performance of
various engineering systems. Traditional methods for condition monitoring rely on physics …

This study presents a stationarity-based method, based on sliding window principle, for wind
turbine monitoring and anomaly detection. Initially, the window is formed with a reference …

Abstract Supervisory Control and Data Acquisition (SCADA) data is widely used for wind
turbine gearbox condition monitoring (WTGCM) due to its easy access and low cost, thus …