Method and system for detecting rotor fault using triaxial magnetic field sensor

• US 10,353,004 B2
• Filed: 03/24/2015
• Issued: 07/16/2019
• Est. Priority Date: 12/30/2013
• Status: Active Grant

• Current Assignee: ABB Schweiz AG (ABB Limited)
• Original Assignee: ABB Schweiz AG (ABB Limited)
• Inventors: Mulay, Prasad, Orman, Maciej, Krishnamoorthi, Karthik, Pinto, Cajetan, Rzeszucinski, Pawel
• Primary Examiner(s): Rodriguez, Douglas X
• Application Number:
  US15/310,782
• Publication Number:
  US 20170082692A1
• Time in Patent Office: 1,575 Days
• Field of Search: None
• CPC Class Codes: G01R 29/0814 Field measurements related to measuring influence on or from apparatus, components or humans EMC, EMI and similar testing in general G01R31/001, e.g. in ESD, EMI, EMC, EMP testing, measuring radiation leakage; detecting presence of micro- or radiowave emitters; dosimetry; testing shielding; measurements related to lightning
• CPC Class Codes: G01R 31/343 in operation
• CPC Class Codes: G01R 33/04 using the flux-gate principle
• CPC Class Codes: G01R 33/10 Plotting field distribution ; Measuring field distribution

Abstract

In aspects, the present invention discloses a method of detecting a rotor fault in an electric machine using a data analysis unit. The method comprises measuring magnetic field strength along a first axis and a second axis, determining operating slip frequency of the electric machine using the measured magnetic field strength along the first axis and the second axis, determining an amplitude of the determined operating slip frequency in a first frequency spectrum and an amplitude of operating slip frequency in a second frequency spectrum, and detecting the rotor fault by comparing the amplitude of the determined operating slip frequency in the first frequency spectrum and the amplitude of operating slip frequency in the second frequency spectrum against a predetermined threshold.

Claims

1. A method of detecting a rotor fault in an electric machine using a data analysis unit having one or more magnetic field sensors and one or more processors, the method comprising:

measuring, by the one or more magnetic field sensors of the data analysis unit, magnetic field strength along a first axis, a second axis, and a third axis, wherein the first axis is at a first angle to the axis of the rotor of the electric machine, the second axis is at a second angle to the axis of the rotor of the electric machine, and the third axis is at a third angle to the first axis;

determining, by the one or more processors of the data analysis unit, an operating slip frequency of the electric machine using the measured magnetic field strength along the first axis and the second axis, wherein determining the operating slip frequency comprises (i) generating a first frequency spectrum from the measured magnetic field strength along the first axis and a second frequency spectrum from the measured magnetic field strength along the second axis;

(ii) identifying a peak within a predetermined range in at least one of the first frequency spectrum and the second frequency spectrum; and

(iii) identifying a frequency corresponding to the identified peak as the operating slip frequency;

determining, by the one or more processors of the data analysis unit, an amplitude of the determined operating slip frequency in the first frequency spectrum and an amplitude of the determined operating slip frequency in the second frequency spectrum;

detecting, by the one or more processors of the data analysis unit, the rotor fault by comparing the amplitude of the determined operating slip frequency in the first frequency spectrum and the amplitude of the determined operating slip frequency in the second frequency spectrum against a predetermined threshold; and

detecting, by the one or more processors of the data analysis unit, a magnetic field sensor fault by (i) generating a third frequency spectrum from the measured magnetic field strength along the third axis, (ii) identifying a peak within the predetermined range in the third frequency spectrum, (iii) comparing a frequency corresponding to the identified peak in the third frequency spectrum against the determined operating slip frequency.

2. The method as claimed in claim 1, further comprising:

determining, by the one or more processors of the data analysis unit, a type of the detected rotor fault by comparing the amplitude of the determined operating slip frequency in the first frequency spectrum with the amplitude of the determined operating slip frequency in the second frequency spectrum, and

determining, by the one or more processors of the data analysis unit, a severity of the detected rotor fault based on the amplitude of the determined operating slip frequency in the first frequency spectrum and the amplitude of the determined operating slip frequency in the second frequency spectrum.

3. The method as claimed in claim 1, further comprising calculating, by the one or more processors of the data analysis unit, the predetermined range based on a nominal slip frequency associated with the electric machine and a nominal line frequency associated with the electric machine.

4. A system for detecting a rotor fault in an electric machine, the system comprising:

one or more magnetic field sensors for measuring magnetic field strength along a first axis, a second axis, and a third axis, wherein the first axis is substantially parallel to the axis of the rotor of the electric machine, wherein the second axis is at an angle to the first axis, and wherein the third axis is at a third angle to the first axis;

a network interface configured to communicate with a remote service device;

one or more processors configured to (i) generate a first frequency spectrum, a second frequency spectrum, and a third frequency spectrum from the measured magnetic field strength along the first axis, the second axis, and the third axis, respectively;

(ii) identify a first peak within a predetermined range in at least one of the first frequency spectrum and the second frequency spectrum;

(iii) identify an operating slip frequency corresponding to the identified first peak;

(iv) detect the rotor fault based on an amplitude of the determined operating slip frequency in the first frequency spectrum and an amplitude of operating slip frequency in the second frequency spectrum;

(v) identify a second peak within the predetermined range in the third frequency spectrum; and

(vi) detect a magnetic field sensor fault based on a frequency corresponding to the identified second peak and the determined operating slip frequency; and

a memory module operatively coupled to the one or more processors.

5. The system as claimed in claim 4, wherein the system is affixed on a frame of the electric machine close to a drive side bearing of the electric machine.

6. The system as claimed in claim 4, wherein the one or more processors are further configured to determine type and severity of the detected rotor fault based on the amplitude of the determined operating slip frequency in the first frequency spectrum and the amplitude of the determined operating slip frequency in the second frequency spectrum.