Classification of Helicopter Transmission Condition in the Relative Spectral Domain under Unknown Sampling Frequency

Fault Diagnosis of Automotive Gasoline Engines Using Time–Frequency Vibration Image Analysis

A fault diagnosis method using frequency-aware adaptive domain alignment for bearings

In practical applications of rolling bearings, variations in the measurement data distribution caused by diverse operating conditions result in complicated domain adaptation tasks and significantly impair the effectiveness and generalizability of conventional models. Therefore, this study proposes a frequency-domain-aw...

Machine Learning Inversion of Runway Base-Course Parameters Using Multi-Domain Vibration Features Under Moving Aircraft Loads

Accurate identification of runway base-course parameters is an important basis for structural condition assessment, yet separating base-course elastic modulus, thickness, and local damage from runway responses under moving aircraft loads remains largely unexplored. This study proposes a machine learning inversion metho...

Research on weak signal feature extraction of bearings based on vibrational resonance of a frequency-adaptive Duffing system

As pivotal elements in rotating machinery, the health of rolling bearings is fundamentally linked to the overall security and consistent performance of mechanical systems. However, the subtle signatures of incipient defects are frequently overwhelmed by intense environmental interference, making it difficult for conven...

Synchroabsorbing Transform With Application to Fault Diagnosis of Aerospace Engines

Time–frequency analysis (TFA) methods are significant in vibration signal analysis and fault diagnosis of mechanical equipment. The existing TFA methods mainly focus on the accuracy of instantaneous frequency (IF) and acquire highly refined time–frequency (TF) ridges. However, in engineering applications, the amplitude...

Detection of induction motor faults by envelopes of higher current harmonics

Detection of broken rotor bars in induction motors based on sideband components near the fundamental stator current frequency often yields unreliable results under variable operating conditions due to masking effects and the dominant amplitude of the fundamental component. This study proposes a robust fault detection m...