APPARATUS AND METHOD FOR MONITORING HEALTH OF ARTICULATING MACHINERY

• US 20150088372A1
• Filed: 09/23/2014
• Published: 03/26/2015
• Est. Priority Date: 09/23/2013
• Status: Active Grant

• Current Assignee: Emerson Electric (US) Holding Corporation (Chile) Limitada (Emerson Electric Company)
• Original Assignee: Emerson Electric (US) Holding Corporation (Chile) Limitada (Emerson Electric Company)
• Inventors: Nower, Daniel L., Burnett, Anthony J., Pendleton, Mark O.
• Granted Patent: US 9,885,237 B2
• Time in Patent Office: Days
• US Class Current: 701/34.4
• CPC Class Codes: E02F 9/267 Diagnosing or detecting failure of vehicles
• CPC Class Codes: E21C 35/00 Details of, or accessories for, machines for slitting or completely freeing the mineral from the seam, not provided for in groups E21C25/00 - E21C33/00, E21C37/00 or E21C39/00
• CPC Class Codes: G01M 7/00 Vibration-testing of structures; Shock-testing of structures G01M9/00 takes precedence

Abstract

An apparatus for acquiring repeatable and trendable performance data for monitoring the health of an articulating machine includes sensors, a programmable logic controller, a machinery monitoring system, and a display device. The sensors collect performance data as the machine performs prescribed motions. The programmable logic controller includes memory for storing motion predicate values that indicate motion conditions to be achieved as predicates to analysis of performance data as the machine performs the prescribed motions. A processor in the programmable logic controller compares the performance data to the motion predicate values to determine whether the motion conditions are being achieved as the machine performs the particular prescribed motion. A processor in the machinery monitoring system calculates analysis parameter values that indicate the health of the machine. These calculations are made using performance data collected while the motion conditions are being achieved. The display device prompts an operator to operate the machine to perform each of the prescribed motions until data has been collected for the prescribed motions.

Claims

1. A method for acquiring repeatable and trendable performance data for monitoring the health of an articulating machine, the method comprising:

(a) storing in memory one or more motion predicate values, each indicating a motion condition to be achieved as a predicate to analysis of performance data as the machine performs one or more prescribed motions;

(b) collecting performance data from a plurality of sensors attached to a plurality of components of the machine as the machine is operated to perform work;

(c) determining whether one or more motion conditions are being achieved for a particular one of the one or more prescribed motions based on comparing the performance data to the one or more motion predicate values;

(d) calculating one or more analysis parameter values that are indicative of the health of the machine using performance data collected while the one or more motion conditions are being achieved for the particular prescribed motion; and

(e) repeating one or more of steps (b) through (d) until analysis parameter values have been calculated for the one or more prescribed motions.

2. The method of claim 1 further comprising:

prompting an operator to operate the machine to perform a particular one of the one or more prescribed motions;

step (c) including determining whether one or more motion conditions are being achieved for the particular prescribed motion prompted for the operator; and

step (e) including repeating the prompting of the operator and steps (b) through (d) until analysis parameter values have been calculated for the one or more prescribed motions.

3. The method of claim 1 wherein:

step (a) includes storing a speed predicate value and a direction predicate value for the one or more prescribed motions;

step (c) includes determining that the component of the machine is moving in a direction indicated by the direction predicate value for the particular prescribed motion and at or above a speed indicated by the speed predicate value for the particular prescribed motion; and

step (d) includes using performance data collected while the component of the machine is moving in the direction indicated by the direction predicate value and at or above the speed indicated by the speed predicate value to calculate the one or more analysis parameter values.

4. The method of claim 3 wherein:

step (a) includes storing a motor current predicate value for the one or more prescribed motions;

step (c) includes determining that a motor current level is at or above a level indicated by the motor current predicate value; and

step (d) includes using performance data collected while the component of the machine is moving in the direction indicated by the direction predicate value and at or above the speed indicated by the speed predicate value and at or above the motor current level indicated by the motor current predicate value to calculate the one or more analysis parameter values.

5. The method of claim 3 wherein the articulating machine is a mining shovel having a bucket, and wherein step (a) includes storing one or more speed predicate values and one or more direction predicate values for prescribed bucket motions including one or more of a swing bucket left motion, a swing bucket right motion, a crowd bucket in motion, a crowd bucket out motion, a hoist bucket up motion, and a hoist bucket down motion.

6. The method of claim 1 wherein:

step (b) comprises inserting timestamp information into the performance data;

step (c) comprises, based on the timestamp information, determining time durations of one or more data segments during which the one or more motion conditions are being achieved;

step (d) comprises determining whether a sum of the time durations of the one or more data segments is greater than or equal to a desired total time duration for performance data collection for the particular prescribed motion; and

step (e) comprises repeating steps (b) through (d) until the sum of the time durations of the one or more data segments is greater than or equal to the desired total time duration for performance data collection for the particular prescribed motion.

7. The method of claim 6 further comprising displaying to an operator an indication of progress of completion of data collection for the particular prescribed motion based on comparison of the desired total time duration to the sum of the time durations of the one or more data segments.

8. The method of claim 1 wherein step (b) comprises collecting performance data from sensors selected from the group consisting of vibration sensors, current sensors, strain sensors, temperature sensors and pressure sensors.

9. The method of claim 1 wherein step (d) comprises calculating one or more analysis parameter values that comprise one or more scalar values, vectors, or array sets.

10. The method of claim 9 wherein the one or more analysis parameter values are identified as a misfire, an imbalance, or a timing fault.

11. An apparatus for acquiring repeatable and trendable performance data for monitoring the health of an articulating machine, the apparatus comprising:

a plurality of sensors attached to a plurality of components of the machine, the plurality of sensors for collecting performance data as the machine performs one or more prescribed motions;

a programmable logic controller configured to receive the performance data from the plurality of sensors, the programmable logic controller comprising;

memory for storing one or more motion predicate values, each indicating a motion condition to be achieved as a predicate to analysis of performance data as the machine performs the one or more prescribed motions; and

a processor for determining, based on comparing the performance data to the one or more motion predicate values, whether one or more motion conditions are being achieved as the machine performs the one or more prescribed motions; and

a machinery monitoring system having a processor for calculating one or more analysis parameter values that are indicative of the health of the machine using performance data collected while the one or more motion conditions are being achieved.

12. The apparatus of claim 11 further comprising a display device for displaying prompts to an operator to operate the machine to perform each of the one or more prescribed motions until data has been collected for the one or more prescribed motions.

13. The apparatus of claim 11 wherein:

the memory of the programmable logic controller stores a speed predicate value and a direction predicate value for the one or more prescribed motions;

the processor of the programmable logic controller is programmed to determine that one or more components of the machine are moving in a direction indicated by the direction predicate value for a particular prescribed motion and at or above a speed indicated by the speed predicate value for the particular prescribed motion; and

the processor of the machinery monitoring system calculates the one or more analysis parameter values using performance data collected while the one or more components of the machine are moving in the direction indicated by the direction predicate value and at or above the speed indicated by the speed predicate value.

14. The apparatus of claim 13 wherein:

the memory of the programmable logic controller stores a motor current predicate value for the one or more prescribed motions;

the processor of the programmable logic controller is programmed to determine that a motor current level is at or above a level indicated by the motor current predicate value for the particular prescribed motion; and

the processor of the machinery monitoring system calculates the one or more analysis parameter values using performance data collected while the one or more components of the machine are moving in the direction indicated by the direction predicate value and at or above the speed indicated by the speed predicate value and at or above the motor current level indicated by the motor current predicate value.

15. The apparatus of claim 11 for acquiring repeatable and trendable performance data for monitoring the health of a mining shovel having a bucket, wherein the memory of the programmable logic controller stores one or more speed predicate values and one or more direction predicate values for one or more prescribed motions of the bucket including one or more of a swing bucket left motion, a swing bucket right motion, a crowd bucket in motion, a crowd bucket out motion, a hoist bucket up motion, and a hoist bucket down motion.

16. The apparatus of claim 15 further comprising a display device for prompting the operator to swing the bucket left, swing the bucket right, crowd the bucket in, crowd the bucket out, hoist the bucket up, or hoist the bucket down.

17. The apparatus of claim 11 wherein:

the plurality of sensors or the programmable logic controller insert timestamp information into the performance data;

the processor of the programmable logic controller is programmed to determine time durations of one or more data segments during which the one or more motion conditions are being achieved based on the timestamp information;

the processor of the programmable logic controller is programmed to determine whether a sum of the time durations of the one or more data segments is greater than or equal to a desired total time duration for performance data collection for the one or more prescribed motions; and

the processor of the machinery monitoring system calculates the one or more analysis parameter values if the sum of the time durations of the one or more data segments is greater than or equal to the desired total time duration for performance data collection for the one or more prescribed motions.

18. The apparatus of claim 17 wherein the display device displays to the operator an indication of progress of completion of data collection for the one or more prescribed motions based on comparison of the desired total time duration to the sum of the time durations of the one or more data segments.

19. The apparatus of claim 11 wherein the plurality of sensors are selected from the group consisting of vibration sensors, current sensors, strain sensors, temperature sensors and pressure sensors.

20. The apparatus of claim 11 wherein the processor of the machinery monitoring system calculates one or more analysis parameter values that comprise one or more scalar values, vectors, or array sets.

21. The apparatus of claim 11 wherein the programmable logic controller outputs a trigger signal to the processor of the machinery monitoring system based on the one or more motion conditions being achieved as the machine performs the one or more prescribed motions.

22. The apparatus of claim 21 wherein the programmable logic controller outputs the trigger signal based on component load, speed, and direction motion conditions being achieved.

23. A method for acquiring repeatable and trendable performance data for monitoring the health of an articulating machine that performs one or more prescribed motions while performing work, the method comprising:

(a) collecting performance data from a plurality of sensors attached to a plurality of components of the machine as the machine is operated to perform work;

(b) determining, based on the performance data, that the machine is performing a prescribed motion that repeats during operation of the machine;

(c) selecting segments of the performance data that were collected while the machine was performing the prescribed motion that repeats during operation of the machine;

(d) determining that a sufficient number of segments of the performance data have been selected to calculate one or more analysis parameter values that are indicative of the health of the machine;

(e) calculating the one or more analysis parameter values when a sufficient number of segments have been selected; and

(f) repeating one or more of steps (a) through (e) until analysis parameter values have been calculated for the one or more prescribed motions.

24. The method of claim 23 further comprising detecting and trending machinery faults based on the selected segments of performance data, including faults selected from the group consisting of:

rolling element bearing faults including one or more of an inner race defect, an outer race defect, a roller element defect, a cage defect, and race slipping;

planetary gear defects and rack-and-pinion gear defects including one or more of crack formation and propagation, broken teeth, tooth fatigue, abrasion, gear misalignment;

shaft coupling misalignment;

a mechanical imbalance of a rotor;

a phase imbalance of a motor rotor or stator;

a phase imbalance of a generator rotor or stator;

a motor rotor or motor stator problem including one or more of a broken rotor bar, an eccentricity;

a mechanical looseness allowing excessive play or movement;

a soft foot or other foundation problem; and

blade or vane defects in a pump.

25. The method of claim 23 wherein step (c) comprises selecting segments of the performance data that were collected while the machine is operating under conditions of repeatable load, speed, and direction.

26. The method of claim 23 further comprising applying one or more of a probability density function, a cumulative distribution function, and statistical process control to the selected data segments to determine alert limits and alarm limits.