Dr. Yu Qi Profile

Dr. Yu Qi

SPIE Involvement:

Author

Publications (1)

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 | 13 December 2024 Paper

Research on anomaly detection algorithm for spacecraft payload action execution status

Yaoye Zheng, Hang Ma, Yu Qi, Peng Wang, Zhengren Zhang, Zhiqian Wang

Proceedings Volume 13492, 134921L (2024) https://doi.org/10.1117/12.3048298

KEYWORDS: Satellites, Data modeling, Principal component analysis, Satellite imaging, Space operations, Reflection, Remote sensing, Feature extraction, Analog electronics, Computer simulations

Read Abstract +

Addressing issues such as high-dimensional satellite telemetry data and data missing, the need for mass telemetry data for long-term training of payload action status monitoring models, and the limited scalability of existing monitoring method, this paper proposes a telemetry parameter model-oriented payload action patterns and a telemetry parameter comparison algorithm based on payload control plans. The proposed model utilizes principal component analysis (PCA) to identify key telemetry parameters specific to particular payload action patterns, significantly reducing data dimensionality and computational complexity. Additionally, the model generates simulated telemetry sequence to serve as a reference for evaluating actual telemetry parameter sequence. Building on these key telemetry parameters and the simulated sequence, the proposed algorithm processes the telemetry data by filling in missing values, removing null telemetry values, and standardizing the data. The algorithm then employs an improved entropy weight method to calculate the weights of telemetry parameters for payload action determination and compress the telemetry data, thereby reducing false alarm rate due to data supplement and lowering the computational load, to achieve the judgment of the execution of the satellite payload action. Validation using real telemetry data from a specific satellite model demonstrated a high accuracy of 87.5% in determining the execution status of satellite payload actions, surpassing the performance of direct sequence comparison post-preprocessing. This method provides ground-based operation control personnel with a reliable basis for assessing the operational status of satellite payloads.

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