This paper presents a fault diagnosis
procedure for steady state engine test bed measurements that expands the method presented in .
Figure 1 is a flowchart of fault diagnosis
of rolling bearing.
Different researchers have applied LMD combining with other signal processing techniques to bearing fault diagnosis
and obtained superior diagnosis results compared with the use of LMD alone .
A fault diagnosis
system was presented by Tashakori and Ektesabi to detect switch faults of three phases VSI (Voltage Source Inverter) drive of BLDC motor with a closed-loop control scheme .
Zhang, "Model-based fault diagnosis
in electric drives using machine learning," IEEE/ASME Transactions on Mechatronics, vol.
It is difficult to extract useful information for purpose of accurate fault diagnosis
To easily apply neutrosophic numbers to fault diagnosis
problems in this paper, we propose the similarity measure of neutrosophic numbers based on cosine function.
Villiani (Eds), Fault Diagnosis
and Tolerance for Mechatronic Systems, Recent Advances, Springer-Verlag, Berlin Heidelberg, 2002.
The model-based fault diagnosis
technique is a method relatively new in the traditional engineering domain technical fault diagnosis
, it had been developmented fast and now receiving significant consideration.
and Fault-Tolerant Control and Guidance for Aerospace Vehicles seeks to demonstrate the attractive potential of recent developments in control for resolving such issues as improved flight performance, self-protection, and extended life of structures.
The fault diagnosis
tool was developed to address these faults.
In this section, the results of two real-world tests will be discussed: one for fault detection and one for fault diagnosis