This invention discloses a
condition monitoring and
control system for a
permanent magnet motor driven by an
oil drilling rig, relating to the field of
permanent magnet motor condition monitoring technology. It includes a
data acquisition and construction module, a data preprocessing and
feature extraction module, a
dynamic monitoring and
trend analysis module, a
deep learning evaluation module, and a fuzzy control and real-time compensation module. The
data acquisition and construction module first acquires real-time operating data of the
inverter during operation through
data acquisition equipment. The acquired real-
time data is stored in a time-series format, and a dataset is established to provide complete and accurate basic data for subsequent analysis and model evaluation. This invention improves the stability, reliability, and energy efficiency of the
permanent magnet motor driven by the
oil drilling rig through real-
time data acquisition,
deep learning evaluation, fuzzy control optimization, and error compensation, adaptively adjusting the
dead time, reducing short-circuit risk,
energy loss, and
harmonic damage, optimizing
system performance, and improving operating efficiency.