# US 8,751,413 B2 · Fuzzy logic based system monitoring system and method

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- Number: US 8,751,413 B2
- Document ID: US8751413B2
- Status: Granted
- Kind: B2
- Application number: 13/190,747
- Filed: 2011-07-26
- Published: 2013-01-31
- Granted: 2014-06-10
- Earliest claimed: 2011-07-26
- Assignees: General Electric Company
- Applicants: Roopesh Bhaskaran Nagathil; Dalero Winston Berkeley; David Lynn Linkenauger; Jason Fredrick Nichols
- Inventors: Roopesh Bhaskaran Nagathil; Dalero Winston Berkeley; David Lynn Linkenauger; Jason Fredrick Nichols
- Web page: https://patentgrep.com/patent/US8751413B2

## CPC

- G06N 7/023: {Learning or tuning the parameters of a fuzzy system}
- G05B 23/024: {Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks}
- G05B 23/0278: {Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA}
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)

## Abstract

A bearing monitoring system includes at least one sensor, and a fuzzy logic enabled device operatively connected to the at least one sensor. The fuzzy logic enabled device includes a fuzzy logic rule set that is configured and disposed to determine a component condition based on an input from the at least one sensor.

## Claims

### Claim 1

A monitoring system comprising:
at least one sensor; and
a fuzzy logic enabled device operatively connected to the at least one sensor, the fuzzy logic enabled device including a fuzzy logic rule set, presented in the following table,
Rule Set for Bearing Health Monitoring
Temperature
Overload
Vibration
Failure
Low
Low
Low
Low
Low
Low
Medium
Medium
Low
Low
High
High
Low
Medium
Low
Medium
Low
Medium
Medium
Medium
Low
Medium
High
High
Low
High
Low
High
Low
High
Medium
High
Low
High
High
High
Medium
Low
Low
Medium
Medium
Low
Medium
Medium
Medium
Low
High
High
Medium
Medium
Low
Medium
Medium
Medium
Medium
Medium
Medium
Medium
High
High
Medium
High
Low
High
Medium
High
Medium
High
Medium
High
High
High
High
Low
Low
High
High
Low
Medium
High
High
Low
High
High
High
Medium
Low
High
High
Medium
Medium
High
High
Medium
High
High
High
High
Low
High
High
High
Medium
High
High
High
High
Imminent
that is configured and disposed to determine a component condition based on an input from the at least one sensor.

### Claim 2 (depends on 1)

The monitoring system according to claim 1, wherein the at least one sensor includes one of a temperature sensor, a vibration sensor, and an overload sensor.

### Claim 3 (depends on 1)

The monitoring system according to claim 1, wherein the at least one sensor includes two of a temperature sensor, a vibration sensor, and an overload sensor.

### Claim 4 (depends on 1)

The monitoring system according to claim 1, wherein the at least one sensor includes each of a temperature sensor, a vibration sensor, and an overload sensor.

### Claim 5 (depends on 1)

The monitoring system according to claim 1, wherein the sensor member includes a communication link coupled directly to the fuzzy logic enabled device.

### Claim 6 (depends on 1)

The monitoring system according to claim 1, further comprising: a sensor system operatively coupled to the at least one sensor, the sensor system including a wireless transmitter operatively connected to the at least one sensor.

### Claim 7 (depends on 6)

The monitoring system according to claim 6, wherein the fuzzy logic enabled device includes a wireless receiver configured and disposed to receive signals from the at least one sensor through the wireless transmitter.

### Claim 8 (depends on 7)

The monitoring system according to claim 7, wherein the fuzzy logic enabled device comprises a web enabled device.

### Claim 9 (depends on 8)

The monitoring system according to claim 8, wherein the web enabled device comprises a smart phone.

### Claim 10 (depends on 1)

The monitoring system according to claim 1, wherein the at least one sensor is mounted relative to a bearing.

### Claim 11 (depends on 10)

The monitoring system according to claim 10, wherein the fuzzy logic enabled device is configured and disposed to employ the fuzzy logic rule set to determine a possibility of potential bearing failure.

### Claim 12 (depends on 11)

The monitoring system according to claim 11, wherein the possibility of the potential bearing failure includes one of a low possibility of an potential bearing failure, a medium possibility of an potential bearing failure, and a high possibility of an potential bearing failure.

### Claim 13 (depends on 10)

The monitoring system according to claim 10, wherein the at least one sensor includes a first sensor mounted to a first component and a second sensor mounted to a second component.

### Claim 14 (depends on 13)

The monitoring system according to claim 13, wherein the fuzzy logic enabled device is configured and disposed to employ the fuzzy logic rule set to rank a condition of the first component relative to a condition of the second component.

### Claim 15 (depends on 1)

The monitoring system according to claim 1, wherein the fuzzy logic enabled device includes a visual output device configured and disposed to display a visual output representing the possibility of the potential bearing failure on the visual output device.

### Claim 16

A method of monitoring component condition using a set of fuzzy logic rules, the method comprising:
sensing at least one parameter of a component;
passing the at least one parameter of the component to a fuzzy logic enabled device;
applying the set of fuzzy logic rules, set forth in following table,
Rule Set for Bearing Health Monitoring
Temperature
Overload
Vibration
Failure
Low
Low
Low
Low
Low
Low
Medium
Medium
Low
Low
High
High
Low
Medium
Low
Medium
Low
Medium
Medium
Medium
Low
Medium
High
High
Low
High
Low
High
Low
High
Medium
High
Low
High
High
High
Medium
Low
Low
Medium
Medium
Low
Medium
Medium
Medium
Low
High
High
Medium
Medium
Low
Medium
Medium
Medium
Medium
Medium
Medium
Medium
High
High
Medium
High
Low
High
Medium
High
Medium
High
Medium
High
High
High
High
Low
Low
High
High
Low
Medium
High
High
Low
High
High
High
Medium
Low
High
High
Medium
Medium
High
High
Medium
High
High
High
High
Low
High
High
High
Medium
High
High
High
High
Imminent
to the at least one parameter of the component; and
determining a component condition based on the at least one component parameter.

### Claim 17 (depends on 16)

The method of claim 16, wherein sensing the at least one parameter of the component includes sensing one of a temperature parameter, a vibration parameter, and an overload parameter.

### Claim 18 (depends on 16)

The method of claim 16, wherein sensing the at least one parameter of the component includes sensing at least two of a temperature parameter, a vibration parameter, and an overload parameter.

### Claim 19 (depends on 16)

The method of claim 16, wherein sensing the at least one parameter of the component includes sensing each of a temperature parameter, a vibration parameter, and an overload parameter.

### Claim 20 (depends on 16)

The method of claim 16, wherein determining a condition of the component includes determining a possibility of a potential component failure.

### Claim 21 (depends on 20)

The method of claim 20, wherein determining a possibility of a potential component failure includes determining one of a low possibility of an potential component failure, a medium possibility of an potential component failure, and a high possibility of an potential component failure.

### Claim 22 (depends on 16)

The method of claim 16, wherein passing the at least one parameter of the bearing includes wirelessly transmitting the at least one parameter of the bearing to the fuzzy logic enabled device.

### Claim 23 (depends on 16)

The method of claim 16, wherein sensing the parameter of the component comprises sensing a parameter of a bearing.

### Claim 24 (depends on 23)

The method of claim 23, wherein determining the component condition comprises determining a possibility of a potential failure of the bearing.

### Claim 25 (depends on 16)

The method of claim 16, wherein sensing the parameter of the component comprises sensing a parameter of a first component and a parameter of a second component.

### Claim 26 (depends on 25)

The method of claim 25, wherein determining the component condition comprises ranking a condition of the first component relative to a condition of the second component.

### Claim 27

A motor system comprising:
a rotating shaft including a first end portion that extends to a second end portion through an intermediate portion;
a first bearing arranged at the first end portion of the shaft, and a second bearing arranged at the second end portion of the shaft; and
a bearing monitoring system operatively coupled to one of the first and second bearings, the bearing monitoring system including:
at least one sensor; and
a fuzzy logic enabled device operatively connected to the at least one sensor, the fuzzy logic enabled device including a fuzzy logic rule set, presented in Table 1,
TABLE 1
Rule Set for Bearing Health Monitoring
Temperature
Overload
Vibration
Failure
Low
Low
Low
Low
Low
Low
Medium
Medium
Low
Low
High
High
Low
Medium
Low
Medium
Low
Medium
Medium
Medium
Low
Medium
High
High
Low
High
Low
High
Low
High
Medium
High
Low
High
High
High
Medium
Low
Low
Medium
Medium
Low
Medium
Medium
Medium
Low
High
High
Medium
Medium
Low
Medium
Medium
Medium
Medium
Medium
Medium
Medium
High
High
Medium
High
Low
High
Medium
High
Medium
High
Medium
High
High
High
High
Low
Low
High
High
Low
Medium
High
High
Low
High
High
High
Medium
Low
High
High
Medium
Medium
High
High
Medium
High
High
High
High
Low
High
High
High
Medium
High
High
High
High
Imminent
that is configured and disposed to determine a condition of at least one of the first and second bearing based on an input from the at least one sensor.

### Claim 28 (depends on 27)

The motor system according to claim 27, wherein the at least one sensor includes each of a temperature sensor, a vibration sensor, and an overload sensor.

### Claim 29 (depends on 27)

The motor system according to claim 27, wherein the fuzzy logic enabled device comprises a smart phone.

### Claim 30 (depends on 27)

The motor system according to claim 27, wherein the fuzzy logic enabled device is configured and disposed to determine a possibility of failure of one of the first and second bearings.

### Claim 31 (depends on 27)

The motor system according to claim 27, wherein the fuzzy logic enabled device is configured and disposed to rank a relative condition of the first bearing and the second bearing using the fuzzy logic rule set presented in Table 1
TABLE 1
Rule Set for Bearing Health Monitoring
Temperature
Overload
Vibration
Failure
Low
Low
Low
Low
Low
Low
Medium
Medium
Low
Low
High
High
Low
Medium
Low
Medium
Low
Medium
Medium
Medium
Low
Medium
High
High
Low
High
Low
High
Low
High
Medium
High
Low
High
High
High
Medium
Low
Low
Medium
Medium
Low
Medium
Medium
Medium
Low
High
High
Medium
Medium
Low
Medium
Medium
Medium
Medium
Medium
Medium
Medium
High
High
Medium
High
Low
High
Medium
High
Medium
High
Medium
High
High
High
High
Low
Low
High
High
Low
Medium
High
High
Low
High
High
High
Medium
Low
High
High
Medium
Medium
High
High
Medium
High
High
High
High
Low
High
High
High
Medium
High
High
High
High
Imminent.