METHOD AND SYSTEM FOR ERROR DETECTION AND MONITORING FOR AN ELECTRONICALLY CLOSED-LOOP OR OPEN-LOOP CONTROLLED MACHINE PART

• US 20170090468A1
• Filed: 09/28/2016
• Published: 03/30/2017
• Est. Priority Date: 09/29/2015
• Status: Active Grant

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: KRAMPE, DETLEF, VERMA, AMIT
• Granted Patent: US 10,955,837 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 19/4065 Monitoring tool breakage, life or condition
• CPC Class Codes: G05B 2219/32233 Scheduling repair
• CPC Class Codes: G05B 2219/32234 Maintenance planning
• CPC Class Codes: G05B 23/0254 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04

Abstract

In a method for error detection and monitoring an electronically closed-loop or open-loop controlled machine part, operating parameters and monitoring parameters of machine parts are recorded and stored. A comparison group of comparable machine parts and comparable operating parameters is determined based on the recorded and stored operating parameters and a machine part to be compared. A statistical analysis procedure is used for creating a threshold value based on the determined comparison group, and for detecting a variance of at least one state or at least one of the monitoring parameters based on the threshold value. The variance is assigned to the machine part.

Claims

What. What is claimed is:

1. A method for error detection and monitoring of an electronically closed-loop or open-loop controlled machine part, comprising:

recording and storing operating parameters and monitoring parameters of machine parts;

determining a comparison group of comparable machine parts and comparable operating parameters based on the recorded and stored operating parameters and a machine part to be compared;

using a statistical analysis procedure for creating a threshold value based on the determined comparison group, and using the statistical analysis procedure for detecting a variance of at least one state or at least one of the monitoring parameters based on the threshold value; and

assigning the variance to the machine part.

2. The method of claim 1, wherein the operating parameters and/or the monitoring parameters are stored in a cloud.

3. The method of claim 2, wherein the operating parameters are recorded and stored at a time of commissioning the machine part.

4. The method of claim 1, wherein the operating parameters are recorded and stored once or continuously.

5. The method of claim 1, wherein at least two machine parts in a comparison group are not operated at a same location.

6. The method of claim 1, wherein the determining of the comparison group is carried out based on a comparison grouping algorithm, with a different comparison grouping algorithm being used for different ones of the machine parts.

7. The method of claim 1, further comprising transmitting the type of the variance to the machine part.

8. The method of claim 1, further comprising transmitting the extent of the variance to the machine part.

9. The method of claim 1, further comprising continuing to operate the machine part with changed or restricted monitoring parameters.

10. The method of claim 1, wherein a threshold value is established for each of the monitoring parameters via the statistical analysis procedure, the variance being determined based on a comparison of the monitoring parameter with the threshold value, with the statistical analysis procedure having weighted factors.

11. The method of claim 1, wherein the statistical analysis procedure has weighted factors as a function of the machine parts.

12. The method of claim 1, further comprising:

calculating an error function at least of the machine part; and

using the statistical analysis procedure to determine as the threshold value a function, in which, the machine part is in operation without any variance and error.

13. A system for error detection and monitoring of an electronically closed-loop or open-loop controlled machine part, comprising:

first means for recording and storing operating parameters and monitoring parameters of machine parts;

second means for determining a comparison group of comparable machine parts and comparable operating parameters based on the recorded and stored operating parameters and a machine part to be compared;

a statistical analysis procedure unit for creating a threshold value based on the comparison group, and detecting a variance of at least one state or at least one of the monitoring parameters based on the threshold value; and

third means for assigning the variance to the machine part.

14. The system of claim 13, wherein the first means record and store the operating parameters at a time of commissioning at least the machine part to be compared.

15. The system of claim 13, wherein the statistical analysis procedure establishes a threshold value for each of the monitoring parameters, with the variance being determined based on a comparison of the monitoring parameter with the threshold value, said statistical analysis procedure having weighted factors.

16. The system of claim 13, further comprising an alarm system configured to output an alarm when the variance exceeds a predefined value.

17. The system of claim 13, further comprising fourth means for calculating an error function at least of the machine part to be compared, said statistical analysis procedure being configured to determine as a threshold value a function, in which the machine part is in operation without any variance and error.