# System for monitoring an industrial process and determining sensor status

## Abstract

A method and system are disclosed for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test. 17 figs.

- Inventors:

- Issue Date:

- Research Org.:
- Univ. of Chicago, IL (United States)

- OSTI Identifier:
- 504952

- Patent Number(s):
- 5,629,872

- Application Number:
- PAN: 8-631,745

- Assignee:
- ARCH Development Corp., Chicago, IL (United States) PTO; SCA: 320303; PA: EDB-97:097347; SN: 97001815583

- DOE Contract Number:
- W-31109-ENG-38

- Resource Type:
- Patent

- Resource Relation:
- Other Information: PBD: 13 May 1997

- Country of Publication:
- United States

- Language:
- English

- Subject:
- 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; INDUSTRIAL PLANTS; DIAGNOSTIC TECHNIQUES; MONITORING; MEASURING INSTRUMENTS; STATISTICS; FUNCTIONS; TRANSFORMATIONS; PROCESS CONTROL

### Citation Formats

```
Gross, K.C., Hoyer, K.K., and Humenik, K.E.
```*System for monitoring an industrial process and determining sensor status*. United States: N. p., 1997.
Web.

```
Gross, K.C., Hoyer, K.K., & Humenik, K.E.
```*System for monitoring an industrial process and determining sensor status*. United States.

```
Gross, K.C., Hoyer, K.K., and Humenik, K.E. Tue .
"System for monitoring an industrial process and determining sensor status". United States.
```

```
@article{osti_504952,
```

title = {System for monitoring an industrial process and determining sensor status},

author = {Gross, K.C. and Hoyer, K.K. and Humenik, K.E.},

abstractNote = {A method and system are disclosed for monitoring an industrial process and a sensor. The method and system include generating a first and second signal characteristic of an industrial process variable. One of the signals can be an artificial signal generated by an auto regressive moving average technique. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the two pairs of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test. 17 figs.},

doi = {},

journal = {},

number = ,

volume = ,

place = {United States},

year = {1997},

month = {5}

}