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In the elevator system, the motor is a crucial component, which drives the elevator by converting electrical energy into mechanical energy. Bearings, as vital transmission parts of the motor, are susceptible to damage. Therefore, early detection of bearing faults is imperative. Teager energy operator, as a classic energy demodulation method, is specially employed to detect both the amplitude and frequency modulations of the vibration signals recorded from damaged elements. The fault characteristic frequency is identified in the spectrum of energy-transformed signal through the inherent amplitude demodulation.Aiming at the deficiency of conventional energy demodulation algorithms sensitive to strong background noise, an improved energy demodulation method is proposed in this paper. The main principle of the proposed energy demodulation method is to combine the B-spline theory with the traditional Teager energy operator. First, the proposed method interpolates the signal using the B-spline that acts as a filter and then transforms the interpolated signal using the Teager energy operator. Finally, the Fourier transform is used to obtain the energy spectrum of the transformed signal to reveal the fault characteristics. This improved energy demodulation method based on B-spline interpolation not only retains the advantages of the Teager energy demodulation algorithm, such as high demodulation accuracy and excellent time resolution but also performs better in the presence of strong noise. Simulation and experimental results show that this proposed method improves the performance of bearing fault detection and can detect faults at an early stage of degradation.