Method for evaluating relative efficiency of equipment

• US 7,155,367 B1
• Filed: 01/25/2005
• Issued: 12/26/2006
• Est. Priority Date: 01/25/2005
• Status: Active Grant

• Current Assignee: Continuous Control Solutions, Inc.
• Original Assignee: Continuous Control Solutions, Inc.
• Inventors: Markevich, Ilya, Khots, Dmitriy, Shapiro, Vadim
• Primary Examiner(s): WACHSMAN, HAL D
• Application Number:
  US11/042,783
• Time in Patent Office: 700 Days
• Field of Search: 702/182, 702113-115, 702/127, 702/138, 702/140, 702/179, 702/181, 702/187, 702183-185, 702/188, 702176-178, 417/6, 417/2, 417/42, 417/53, 417/44.1, 621/92, 621/75
• US Class Current: 702/182
• CPC Class Codes: G06Q 10/043 Optimisation of two dimensional placement, e.g. cutting of clothes or wood

Abstract

The current invention is a computer implemented method of evaluating relative efficiency of equipment by constructing a mathematical model of the operation of the equipment, calculating a distance between an actual operating point and the mathematically obtained optimal operating point of the equipment, and processing the distances to identify efficiency changes of the equipment.

Claims

1. A computer implemented method for evaluating relative efficiency of equipment comprising the steps of:

constructing a model of operation for the equipment using a computer wherein an optimal operating point is calculated;

measuring a plurality of actual operating points of the equipment at discrete times;

calculating a distance between each actual operating point and the optimal operating point wherein each distance is stored as a discrete data point in a computer memory;

analyzing the discrete data points to determine a mean distance value; and

providing an output indicative to a user of the relative efficiency of the equipment where the mean distance value equals the relative efficiency of the equipment.

2. The computer implemented method for evaluating relative efficiency of the equipment of claim 1, wherein the model is constructed from an algorithm selected from the group consisting of:

topological-algebraic infinite-dimensional methods;

clustering algorithms;

self-organized map (SOM) algorithms;

expectation-maximization (EM) algorithms, genetic algorithms (GA);

maximum likelihood training of hidden Markov model (MLTHMM) algorithms;

neural networks;

linear and nonlinear correlation and regression algorithms;

factor analysis (FA) algorithms; and

real-time computation of time-recursive discrete sinusoidal transforms (DST) algorithms.

3. The computer implemented method for evaluating relative efficiency of the equipment of claim 1, wherein the calculation of the distance between the actual operating point and the optimal operating point takes into consideration quantifiable conditions external to the equipment.

4. The computer implemented method for evaluating relative efficiency of the equipment of claim 1, wherein data from irrelevant time intervals is removed from the stored discrete data points.

5. The computer implemented method for evaluating relative efficiency of the equipment of claim 1, wherein the distribution of the discrete data points is normalized.

6. The computer implemented method for evaluating relative efficiency of the equipment of claim 1, wherein the equipment to be evaluated is process-type equipment.

7. A computer implemented method for evaluating relative efficiency of equipment A versus equipment B comprising the steps of:

constructing a model of operation for equipment A utilizing a computer wherein an optimal operating point is calculated;

measuring a plurality of actual operating points of equipment A at discrete times;

calculating a distance between each actual operating point of equipment A and the optimal operating point of equipment A wherein each distance is stored as a discrete data point in a memory of the computer;

analyzing the discrete data points of equipment A to determine a mean distance value for equipment A wherein the mean distance value is stored in the computer memory;

constructing a model of operation for equipment B utilizing the computer wherein an optimal operating point is calculated;

measuring a plurality of actual operating points of equipment B at discrete times;

calculating the distance between each actual operating point of equipment B and the optimal operating point wherein each distance is stored as a discrete data point in the computer memory;

analyzing the discrete data points of equipment B to determine a mean distance value for equipment B wherein the mean distance value is stored in the computer memory;

comparing the mean difference value of equipment A to the mean distance value of equipment B; and

calculating and outputting a difference in mean distance values between equipment A and equipment B indicative to a user of relative efficiency of the equipment.

8. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 7 wherein equipment B is essentially the same as equipment A.

9. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 8 wherein only a single mathematical model is constructed.

10. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 8, wherein the equipment A and equipment B are used in a manufacturing process.

11. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 7, wherein the model used is an algorithm from the group consisting of:

topological-algebraic infinite-dimensional methods;

clustering algorithms;

self-organized map (SOM) algorithms;

expectation-maximization (EM) algorithms, genetic algorithms (GA);

maximum likelihood training of hidden Markov model (MLTHMM) algorithms;

neural networks;

linear and nonlinear correlation and regression algorithms;

factor analysis (FA) algorithms; and

real-time computation of time-recursive discrete sinusoidal transforms (DST) algorithms.

12. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 7, wherein the calculation of distance between the actual operating point and the optimal operating point for each of equipment A and equipment B takes into consideration quantifiable conditions external to the equipment.

13. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 7, wherein data from irrelevant time intervals is removed from the stored discrete data points.

14. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 7, wherein the normal distribution of the discrete data points is calculated.

15. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 7, wherein the more efficient equipment is determined by whichever equipment'"'"'s mean distance value is closer to the optimal operating point.

16. The computer implemented method for evaluating relative efficiency of equipment A versus equipment B of claim 7, wherein the equipment to be evaluated is process-type equipment.