Vehicle Health Monitoring Using Stochastic Constraint Suspension

Rossi, Christopher M.; Breger, Louis; Benson, David A.; Sargent, Russell; Fesq, Lorraine

doi:10.2514/6.2012-4611

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…A proposed technique controlling this ratio is by selecting appropriate fault detection thresholds. These thresholds can either be selected by the designer of the diagnostic algorithm (subjectively) or can be quantified and selected objectively [46]. The great advantage of model based analysis is that algorithms can be developed based on engineering knowledge of the system without the requirement of fault history of the system or component under examination.…”

Section: Diagnostic Methods Summarymentioning

confidence: 99%

“…Fault detection is highly dependent on the model's accuracy, in [43] there is developed a method of adjusting properly the component equations to be insensitive to noise and disturbances, but sensitive to faults. Based on the complexity of the modelled system and the model's capability of incorporating noise and disturbances, there have been proposed diagnostic rules based on fixed thresholds [44] or adaptive thresholds [45][46][47].…”

Section: Fault Detection Challengesmentioning

confidence: 99%

“…A major obstacle observed in general in all fault diagnostic applications is a trade-off between probabilities of false alarms to probabilities of misdetections. Under DX approach, in [46] there is developed a technique that was able to quantify these probabilities and select a fault detection threshold that could minimize them. Another method of controlling false alarms to misdetections ratio was proposed by [48].…”

Section: Fault Detection Challengesmentioning

confidence: 99%

See 2 more Smart Citations

A review of model based and data driven methods targeting hardware systems diagnostics

Skliros¹,

Miguez²,

Ali³

et al. 2018

Diagnostyka

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System health diagnosis serves as an underpinning enabler for enhanced safety and optimized maintenance tasks in complex assets. In the past four decades, a wide-range of diagnostic methods have been proposed, focusing either on system or component level. Currently, one of the most quickly emerging concepts within the diagnostic community is system level diagnostics. This approach targets in accurately detecting faults and suggesting to the maintainers a component to be replaced in order to restore the system to a healthy state. System level diagnostics is of great value to complex systems whose downtime due to faults is expensive. This paper aims to provide a comprehensive review of the most recent diagnostics approaches applied to hardware systems. The main objective of this paper is to introduce the concept of system level diagnostics and review and evaluate the collated approaches. In order to achieve this, a comprehensive review of the most recent diagnostic methods implemented for hardware systems or components is conducted, highlighting merits and shortfalls.

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Section: Diagnostic Methods Summarymentioning

confidence: 99%

Section: Fault Detection Challengesmentioning

confidence: 99%

Section: Fault Detection Challengesmentioning

confidence: 99%

See 1 more Smart Citation

A review of model based and data driven methods targeting hardware systems diagnostics

Skliros¹,

Miguez²,

Ali³

et al. 2018

Diagnostyka

View full text Add to dashboard Cite

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“…Sargent et al (2011) use hypothesis testing with thresholds for FDI on the Orbital Cygnus vehicle. Rossi (2012) uses hypothesis testing for health management of spacecraft.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection and Isolation for Autonomous Parafoils

et al. 2013

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Autonomous precision airdrop systems are widely used to de- liver supplies to remote locations. Payloads that are delivered far from their intended targets or with high impact velocity may be rendered unusable. Faults occurring during flight can severely degrade vehicle performance, effectively nullifying the value of the guided system, or worse. Quickly detecting and identifying faults enables the choice of an appropriate recovery strategy, potentially mitigating the consequences of an out-of-control vehicle and recovering performance. This paper presents a multi-observer, multi-residual fault detection and isolation (FDI) method for an autonomous parafoil system. The detection and isolation processes use residual signals generated from observers and other system models. statistical methods are applied to evaluate these residuals and determine whether a fault has occurred, given a priori knowledge of system uncertainty characteristics. Several examples are used to illustrate the detection and isolation algorithm on- line using available navigation and telemetry outputs. Tests of this FDI method on a large number of high-fidelity simulations indicate that it is possible to detect and isolate some common faults with a high percentage of success and a very small chance of raising a false alarm.

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“…The location and thrust direction for all 20 ADCS jets and the main engine, the mass properties, the propellant properties, start-up and shut-down transients, and the rest of the relevant parameters are specified [32]. The sensor models simply pass the state through (perfect navigation), but this is where realistic models can be included.…”

Section: Spacecraftmentioning

confidence: 99%

Interplanetary missions

Interplanetary Mission Analysis and Design

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High specific impulse electric propulsion systems enable ambitious lunar and interplanetary missions that return a wealth of scientific data. Many of these technologies are difficult to scale down, meaning the spacecraft are relatively massive and expensive. The Space Propulsion Lab (SPL) at the Massachusetts Institute of Technology (MIT) is developing compact, high specific impulse ion electrospray thrusters which do not suffer from the same sizing limitations. The Ion Electrospray Propulsion System (iEPS) is tailored for small spacecraft and can perform high AV maneuvers. This enables a plethora of lunar and interplanetary missions using nanosatellites, which can lead to substantial cost reductions.The main objective of the research presented in this thesis is to develop a guidance and control (GC) architecture for small spacecraft using iEPS modules for main propulsion and attitude control actuation and to evaluate its performance through simulation. The Lunar Impactor mission serves as the primary case study, and the results offer valuable insight into the design of the propulsion system while validating the functionality of the GC algorithm. These methods are extended in a second case study focusing on exploration of a near-earth asteroid.

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Vehicle Health Monitoring Using Stochastic Constraint Suspension

Cited by 7 publications

References 8 publications

A review of model based and data driven methods targeting hardware systems diagnostics

A review of model based and data driven methods targeting hardware systems diagnostics

Fault Detection and Isolation for Autonomous Parafoils

Interplanetary missions

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