Dr. Michael J. Krok Profile

Dr. Michael J. Krok

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 8 August 2003 Paper

Prognostics for advanced compressor health monitoring

Michael Krok, Kai Goebel

Proceedings Volume 5107, (2003) https://doi.org/10.1117/12.497300

KEYWORDS: Diagnostics, Reliability, Sensors, Model-based design, Detection and tracking algorithms, Information fusion, Filtering (signal processing), Wavelets, Signal detection, Systems modeling

Read Abstract +

Axial flow compressors are subjected to demands for ever-increasing levels of pressure ratio at a compression efficiency that augments the overall cycle efficiency. However, unstable flow may develop in the compressor, which can lead to a stall or surge and subsequently to gas turbine failure resulting in significant downtime and cost to repair. To protect against these potential aerodynamic instabilities, compressors are typically operated with a stall margin. This means operating the compressor at less than peak pressure rise which results in a reduction in operating efficiency and performance. Therefore, it is desirable to have a reliable method to determine the state of a compressor by detecting the onset of a damaging event prior to its occurrence. In this paper, we propose a health monitoring scheme that gathers and combines the results of different diagnostic tools to maximize the advantages of each one while at the same time minimizing their disadvantages. This fusion scheme produces results that are better than the best result by any one tool used. In part this is achieved because redundant information is available that when combined correctly improves the estimate of the better tool and compensates for the shortcomings of the less capable tool. We discuss the usage of diagnostic information fusion for a compressor event coupled with proactive control techniques to support improved compressor performance while at the same time avoid the increased damage risk due to stall margin reduction. Discretized time to failure windows provide event prediction in a prognostic sense.

Proceedings Article | 1 September 1990 Paper

Multi-target acquisition fire control simulation

Michael Krok

Proceedings Volume 1304, (1990) https://doi.org/10.1117/12.2322209

KEYWORDS: Target acquisition, Target detection, Antennas, Radar, Sensors, Forward looking infrared, Error analysis, Servomechanisms, Lead, Weapons

Read Abstract +

This paper summarizes the development, structure, verification, and applications of the Multi-Target Acquisition System (MTAS) Fire Control (FC) simulation. Development of the simulation began in 1982 as part of the Center for Night Vision and Electro-Optics (CNVEO) "Search and Target Acquisition Radar for Target Location and Engagement" (STARTLE) Program. Originally, a milli-meter wave radar sensor was employed to locate and tract multiple targets. Since then, the simulation has been extended to include a FLIR/ electro-optical sensor, a manual tracking system, and more sophisticated FC algorithms applicable to multiple targets. The purpose of this paper is to describe the beginnings of a generic, multi-target fire control structure that is applicable to armored vehicles, and to illustrate the key error contributors of accurate target location and subsequent motion prediction.

Descriptions of the key FC algorithms are provided. Sample results for stationary firer/maneuvering multiple targets for different tracking systems are presented. Also, the timeline characteristics of addressing three targets in succession is presented to illustrate the multi-target analysis capability of the simulation. Finally, applications to current and future Army programs are discussed.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years