Failure prognosis and remaining useful life prediction of control moment gyroscopes onboard satellites

Muthusamy, Venkatesh; Kumar, Krishna Dev

doi:10.1016/j.asr.2021.09.016

Cited by 15 publications

(2 citation statements)

References 13 publications

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“…Muthusamy and Kumar [ 11 ] present a data-driven RUL estimation approach for a single gimballed control moment gyros (CMG) with output residuals as HI for the CMG. The polynomial general path model (GPM) is applied for the prognostic method.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Lubrication Decay in Reaction Wheels Using Temperature Estimation and Forecasting via Enhanced Adaptive Particle Filter

Alidadi

Rahimi

2023

Sensors

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Reaction wheels (RW), the most common attitude control systems in satellites, are highly prone to failure. A satellite needs to be oriented in a particular direction to maneuver and accomplish its mission goals; losing the reaction wheel can lead to a complete or partial mission failure. Therefore, estimating the remaining useful life (RUL) over long and short spans can be extremely valuable. The short-period prediction allows the satellite’s operator to manage and prioritize mission tasks based on the RUL and increases the chances of a total mission failure becoming a partial one. Studies show that lack of proper bearing lubrication and uneven frictional torque distribution, which lead to variation in motor torque, are the leading causes of failure in RWs. Hence, this study aims to develop a three-step prognostic method for long-term RUL estimation of RWs based on the remaining lubricant for the bearing unit and a potential fault in the supplementary lubrication system. In the first step of this method, the temperature of the lubricants is estimated as the non-measurable state of the system using a proposed adjusted particle filter (APF) with angular velocity and motor current of RW as the available measurements. In the second step, the estimated lubricant’s temperature and amount of injected lubrication in the bearing, along with the lubrication degradation model, are fed to a two-step particle filter (PF) for online model parameter estimation. In the last step, the performance of the proposed prognostics method is evaluated by predicting the RW’s RUL under two fault scenarios, including excessive loss of lubrication and insufficient injection of lubrication. The results show promising performance for the proposed scheme, with accuracy in estimation of the degradation model’s parameters around 2–3% of root mean squared percentage error (RMSPE) and prediction of RUL around 0.1–4% error.

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Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Lubrication Decay in Reaction Wheels Using Temperature Estimation and Forecasting via Enhanced Adaptive Particle Filter

Alidadi

Rahimi

2023

Sensors

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“…27 This model was proved having good performance when very limited in-orbit failures are observed. What’s more, Muthusamy and Kumar 28 proposed a health monitoring framework to predict remaining useful life of onboard satellites. In his research, a data-driven model was used to simulated fault and the general path model was applied to capture the prognosis of the system.…”

Section: Introductionmentioning

confidence: 99%

Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera

Xie

Yang

et al. 2022

Advances in Mechanical Engineering

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Launch missions of small satellites have been increasing in recent years. As the main payload, the camera plays a pivotal role in remote sensing detection. Therefore, on-orbit health estimation is a continuous concern for satellite design. This study aims to develop a dynamic intelligent health estimation algorithm for the on-orbit satellite camera. Based on fuzzy theory in the intelligent health estimation algorithm, the reliability and the remaining useful life are transformed into a newly defined health estimation index, namely “health vector,” which reflects camera health from the aspects of the electrical and mechanical parts. Compared with traditional methods, the new intelligent health estimation algorithm can not only judge the development direction of satellite camera’s health status, but also predict the degree of change. In addition, the proposed “health vector” is concise for engineers to monitor the health status of satellites in real time from the ground in multiple dimensions. In summary, this study provides a new method for on-orbit health management of satellite cameras.

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Kalman Filter-Based Systems Approach for Prognostics and Health Management of Electric Motors

Park

Lee²,

Kim

et al. 2023

Springer Series in Reliability Engineering

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Failure prognosis and remaining useful life prediction of control moment gyroscopes onboard satellites

Cited by 15 publications

References 13 publications

Fault Diagnosis of Lubrication Decay in Reaction Wheels Using Temperature Estimation and Forecasting via Enhanced Adaptive Particle Filter

Fault Diagnosis of Lubrication Decay in Reaction Wheels Using Temperature Estimation and Forecasting via Enhanced Adaptive Particle Filter

Dynamical reliability analysis and remaining useful life prediction for an on-orbit satellite camera

Kalman Filter-Based Systems Approach for Prognostics and Health Management of Electric Motors

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