IP Library Granted Patent US 12,331,491
Granted Patent B2
US 12,331,491 · App. 18/316,106 · Granted Jun 17, 2025

System and method for collecting operational vibration data for a mining machine

Inventor: Brian N. White (Brookfield, WI)
Assignee: JOY GLOBAL SURFACE MINING INC
E02F9/267E02F9/26E21C35/00E02F3/30
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,331,491
App. No.
18/316,106
Granted
Jun 17, 2025
Kind
B2
Abstract

A vibration monitoring system for a mining machine, the mining machine including a plurality of movable components and one or more motor operatively coupled to the plurality of movable components. The system including a plurality of sensors, each of the plurality of sensors positioned at one of a plurality of measurement points on at least one of the movable component of the industrial machine, and an electronic processor coupled to the plurality of sensors and configured to receive a signal including a parameter related to a motion of the at least one moveable component, identify a steady state of the industrial machine based, at least in part, on the parameter meeting a predetermined criteria, receive, from the plurality of sensors, a plurality of vibration data sets, and select a vibration data subset from the plurality of vibration data sets corresponding to the steady state of the industrial machine.

Claims (42)

1. A vibration monitoring system for an industrial machine, the industrial machine including a plurality of movable components and one or more motor operatively coupled to the plurality of movable components, the system comprising:

a plurality of sensors, each of the plurality of sensors positioned at one of a plurality of measurement points on at least one of the movable component of the industrial machine; and

an electronic processor coupled to the plurality of sensors and configured to

receive a signal including a parameter related to a motion of the at least one moveable component,

identify a steady state of the industrial machine based, at least in part, on the parameter meeting a predetermined criteria,

receive, from the plurality of sensors, a plurality of vibration data sets, and

select a vibration data subset from the plurality of vibration data sets corresponding to the steady state of the industrial machine.

2. The vibration monitoring system of claim 1 , wherein the parameter includes at least one selected from the group consisting of a motor speed, a motor acceleration, and a motor torque.

3. The vibration monitoring system of claim 1 , wherein each of the vibration data sets is a waveform between five and ten seconds in length, and wherein the vibration data subset is a waveform of approximately one second long.

4. The vibration monitoring system of claim 1 , wherein the electronic processor further selects the vibration data subset based on a window of time with at least one selected from the group consisting of a low peak motor acceleration, a low total fluctuation in motor speed, a low rate of change in motor torque, and a low total fluctuation in motor torque.

5. The vibration monitoring system of claim 1 , wherein the electronic processor receives the plurality of vibration data sets during an active operation of the industrial machine.

6. The vibration monitoring system of claim 1 , wherein at least one of the components is one selected from a group consisting of a hoist motor and a pinion shaft, a hoist intermediate shaft, a hoist drum, a swing motor and a pinion shaft, a swing intermediate shaft, a swing output shaft, a crowd motor, a crowd input shaft, and a crowd intermediate shaft.

7. The vibration monitoring system of claim 1 , wherein the electronic processor is a first electronic processor; and

further comprising a second electronic processor coupled to the first electronic processor, the second electronic processor configured to control at least one of the components,

wherein the first electronic processor receives the signal including the parameter from the second processor.

8. The control vibration monitoring of claim 1 , wherein the plurality of sensors includes a plurality of accelerometers.

9. The control vibration monitoring of claim 1 , further comprising

at least one tachometer positioned to monitor at least one of the components,

wherein the electronic processor is coupled to the tachometer and is further configured to receive the signal including the parameter from the tachometer.

10. The vibration monitoring system of claim 1 , wherein the electronic processor is further configured to determine whether each of the plurality of vibration data sets is valid, and wherein the electronic processor is further configured to writing the plurality of vibration data sets to a memory when each of the plurality of vibration data sets is valid.

11. A method of analyzing vibration data for an industrial machine, the method comprising:

receiving, by an electronic processor, a signal including a parameter related to a motion of at least one component of the industrial machine;

identifying, by the electronic processor, a steady state of the industrial machine;

receiving, by the electronic processor, a plurality of vibration data sets from a plurality of sensors, each of the plurality of sensors positioned at one of a plurality of measurement points on at least one of the components of the industrial machine; and

selecting, by the electronic processor, a vibration data subset from the plurality of vibration data sets corresponding to the steady state of the industrial machine.

12. The method of claim 11 , wherein the parameter includes at least one selected from the group consisting of a motor speed and a motor torque.

13. The method of claim 11 , wherein each of the vibration data sets is a waveform between five and ten seconds in length, and wherein the vibration data subset is a waveform of approximately one second long.

14. The method of claim 11 , wherein selecting the vibration data subset further includes selecting the vibration subset based on a window of time with at least one selected from the group consisting of a low peak motor acceleration, a low total fluctuation in motor speed, a low rate of change in motor torque, and a low total fluctuation in motor torque.

15. The method of claim 11 , wherein receiving the plurality of vibration data sets includes receiving the plurality of vibration sets during an active operation of the industrial machine.

16. The method of claim 11 , wherein at least one of the components is one selected from a group consisting of a hoist motor and a pinion shaft, a hoist intermediate shaft, a hoist drum, a swing motor and a pinion shaft, a swing intermediate shaft, a swing output shaft, a crowd motor, a crowd input shaft, and a crowd intermediate shaft.

17. The method of claim 11 , wherein the electronic processor is a first electronic processor; and wherein the first electronic processor receives the signal including the parameter from a second processor, the second electronic processor configured to control at least one of the components of the industrial machine.

18. The method of claim 11 , wherein the plurality of sensors includes a plurality of accelerometers.

19. The method of claim 11 , wherein the electronic processor is coupled to a tachometer, the tachometer positioned to monitor at least one of the components, and wherein receiving the signal including the parameter includes receiving a signal from the tachometer.

20. The method of claim 11 , further comprising determining whether each of the plurality of vibration data sets is valid, and writing the plurality of vibration data sets to a memory when each of the plurality of vibration data sets is valid.

21. A mining machine vibration monitoring system comprising:

a plurality of sensors, each of the plurality of sensors positioned at one of a plurality of measurement points on at least one component of the mining machine, the at least one component configured to be controlled to move in response to motion commands;

a processing system operatively coupled to the at least one component and the plurality of sensors, the processing system configured to:

receive, from the plurality of sensors, a plurality of vibration data sets; and

determine whether each of the plurality of vibration data sets is valid or invalid, wherein the determination of whether each of the plurality of vibration data sets is valid or invalid is based on a frequency level of energy of each of the plurality of vibration data sets.

22. The mining machine vibration monitoring system of claim 21 , wherein in response to the plurality of vibration data sets being valid, writing the plurality of vibration data sets to a memory.

23. The mining machine vibration monitoring system of claim 22 , wherein in response to at least one of the plurality of vibration data sets being invalid, determine whether a failure threshold has been exceeded.

24. The mining machine vibration monitoring system of claim 23 , wherein in response to the failure threshold being exceeded, generate an alert.

Assignments (2)
MERGER Recorded Oct 23, 2024
From: HARNISCHFEGER TECHNOLOGIES, INC.
To: JOY GLOBAL SURFACE MINING INC
Reel/Frame 068994/0850 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 23, 2024
From: WHITE, BRIAN N.
To: HARNISCHFEGER TECHNOLOGIES, INC.
Reel/Frame 069235/0337 →
Continuity (3)
Continuation 17172270 · Feb 10, 2021
Continuation 16312730
Related Publication 20230279647A1 · Sep 7, 2023
References Cited (30)
US 20060136110A1 · Casey et al. · 2006 [cited by applicant]
US 20070006636A1 · King et al. · 2007 [cited by applicant]
US 20130184927A1 · Daniel et al. · 2013 [cited by applicant]
US 20130190966A1 · Collins et al. · 2013 [cited by applicant]
US 20130197737A1 · Malayappalayam Shanmugam et al. · 2013 [cited by applicant]
US 20140324367A1 · Garvey, III et al. · 2014 [cited by applicant]
US 20150019087A1 · Knuth et al. · 2015 [cited by applicant]
US 20150088372A1 · Nower et al. · 2015 [cited by applicant]
AU 2014233575A1 · 2014 [cited by applicant]
CN 102026841A · 2011 [cited by applicant]
CN 103370859A · 2013 [cited by applicant]
DE 112005003040T5 · 2007 [cited by applicant]
JP 2016105213A · 2016 [cited by applicant]
RU 2436900C2 · 2011 [cited by applicant]
WO 2004090486A1 · 2004 [cited by applicant]
Chilean Patent Office Second Office Action for Application No. CL201803727 dated Oct. 30, 2020 (26 pages including statement of relevance). [cited by applicant]
Office Action issued by the Swedish Patent Office for Application No. 1950077-6 dated Sep. 17, 2020 (4 pages). [cited by applicant]
Russian Patent Office Action for Application No. 2019101789 dated Jan. 14, 2020 (15 pages including English translation). [cited by applicant]
Chilean Patent Office Examination Report for Application No. 201803727 dated Apr. 28, 2020 (14 pages including statement of relevance). [cited by applicant]
Swedish Patent and Registration Office action for Application No. 1950077-6 dated Dec. 18, 2019 (7 pages). [cited by applicant]
Translation of Office Action issued by the Colombian Patent Office for Application No. 2019/0000659 dated Jun. 26, 2020 (7 pages). [cited by applicant]
International Search Report and Written Opinion for Application No. PCT/US2016/039176 dated Mar. 20, 2017 (14 pages). [cited by applicant]
International Preliminary Report on Patentability for Application No. PCT/US2016/039176 dated Jan. 3, 2019 (13 pages). [cited by applicant]
Chinese Patent Office Action and Search Report for Application No. 201680088350.5 dated Jul. 5, 2021 (10 pages including brief English summary). [cited by applicant]
Australian Patent Office Examination Report No. 1 for Application No. 2016410611 dated Mar. 23, 2021 (4 pages). [cited by applicant]
Intellectual Property Office India Examination Report for Application No. 201817049967 dated Apr. 1, 2021 (5 pages including English translation). [cited by applicant]
Canadian Patent Office Action for Application No. 3,028,620 dated May 10, 2021 (4 pages). [cited by applicant]
Bartelmus; Object and Operation Supported Maintenance for Mining Equipment; Mining Science, vol. 21, 2014, pp. 7-21 (Year: 2014). [cited by applicant]
Heyns et al.; Vibration based condition monitoring under fluctuating load and speed conditions; 18th World Conference on Nondestructive testing, Apr. 16-20, 2012 (Year: 2012). [cited by applicant]
German Office Action for Application No. 112016006999.5, dated Aug. 19, 2024, 5 pages. [cited by applicant]