|
Abstract:
A new way is offered for gear fault diagnosis. A new approach,
designated as Hilbert-Huang transform is introduced into gear fault
diagnosis. Then the concept of local Hilbert energy spectrum is proposed
and two fault diagnosis methods named frequency family separation based
on EMD and Hilbert energy spectrum are established according to the
characteristic of gear fault vibration signal. The frequency families
are separated effectively by applying empirical mode decomposition to
the gear fault vibration signals. The fault information of the gear
vibration signals can be extracted from the local Hilbert spectrum from
which the distribution of the energy of the gear fault vibration signal
with the change of time and frequency. These two methods have been
applied to gear fault diagnosis. The results of the application to gear
fault diagnosis show that frequency family separation based on EMD and
Hilbert energy spectrum can extract gear fault information effectively.
Key words: Hilbert-Huang transform Local Hilbert energy spectrum
EMD Frequency family separation Gear fault diagnosis
CLC No: TH165.3
TH115
国家自然科学基金(50275050)和高等学校博士点专项科研基金(20020532024)资助项目. Received 20040618,
received in revised form 20050128
|