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Knoxville, TN, United States of America

Computational Systems, Inc.

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USPTO Granted Patents = 81

Trademarks = 4

Forward Citations = 1,154

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55 inventors (with patents filed for the assignee):

Anthony John Hayzen (34 out of 43 patents)

Stewart V Bowers, Iii (23 out of 32 patents)

Christopher G Hilemon (17 out of 20 patents)

4. Kenneth Ralph Piety (11 out of 62 patents)

5. John W Willis (10 out of 10 patents)

6. Daniel L Nower (6 out of 13 patents)

7. Trevor Duncan Schleiss (5 out of 51 patents)

8. William L Sells (5 out of 6 patents)

9. Manikandan Janardhanan (5 out of 7 patents)

10. Robert Darrell Skeirik (5 out of 12 patents)

11. Michael D Medley (4 out of 5 patents)

12. Deane M Horn (4 out of 6 patents)

13. William E Childress (3 out of 7 patents)

14. Thomas E Nelson (3 out of 13 patents)

15. Eric L Johnson (3 out of 6 patents)

Core Competencies:

Vibration Analysis

Machine Fault Prediction

Waveform Optimization

Spectral Data Processing

RPM Determination

Vibration Sensor

Data Compression

Predictive Maintenance

Signal Conditioning

Noise Reduction

Asset Health Monitoring

Threshold Detection

81 patents: Sort by Forward Citations

1. 12716908 - Methods and apparatus to generate a pulse waveform from a tachometer signal (2026-08-25),

2. 12270733 - Graphical display of discontinuous waveform data (2025-04-08),

3. 12174216 - Determination of rpm based on scanning vibration spectral plot (2024-12-24),

4. 12174059 - Determination of RPM based on vibration spectral plots and speed range (2024-12-24),

5. 11898994 - Waveform acquisition optimization (2024-02-13),

6. 11635345 - System for separating periodic frequency of interest peaks from non-periodic peaks in machine vibration data (2023-04-25),

7. 11598753 - Removal of effects of asymptotically decaying DC bias from vibration waveform (2023-03-07),

8. 11573153 - Prediction of machine failure based on vibration trend information (2023-02-07),

9. 11561128 - Determination of machine rotational speed from vibration spectral plots based on nominal speed (2023-01-24),

10. 11519930 - Determination of rpm from vibration spectral plots based on percentage RPM (2022-12-06),

11. 11506569 - Bearing and fault frequency identification from vibration spectral plots (2022-11-22),

12. 11499946 - Waveform acquisition optimization (2022-11-15),

13. 11499889 - Fault frequency matching of periodic peaks in spectral machine data (2022-11-15),

14. 11435260 - Graphical display of discontinuous waveform data (2022-09-06),

15. 11342932 - Machine spectral data compression (2022-05-24),

Company Overview

Computational Systems, Inc., based in Knoxville, TN, specializes in advanced vibration analysis technologies aimed at enhancing predictive maintenance and machine fault prediction. The company focuses on developing innovative solutions that optimize waveform analysis, process spectral data, and determine RPM with precision. Their expertise in vibration sensors and data compression techniques positions them as a leader in the field, providing critical insights for industries reliant on machinery performance and reliability.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

81 Patents

#4 in Knoxville, TN

#42 in Tennessee

#4,581 in US

#9,364 in the World

Knoxville, TN, United States of America

Computational Systems, Inc.

Forward Citations = 1,154

55 inventors:

Anthony John Hayzen (34 out of 43 patents)

Stewart V Bowers, Iii (23 out of 32 patents)

Christopher G Hilemon (17 out of 20 patents)

4. Kenneth Ralph Piety (11 out of 62 patents)

5. John W Willis (10 out of 10 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Computational Systems, Inc.. Retrieved from https://idiyas.com/company/computational-systems

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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