diagnosis

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This paper presents a fault diagnosis procedure for steady state engine test bed measurements that expands the method presented in [10].
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 [22].
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 [36].
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.
Fault Diagnosis 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.

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