Sensor Selection and Optimization for Health Assessment of Aerospace Systems

Maul, William A.; Kopasakis, George; Santi, L. Michael; Sowers, T. Shane; Chicatelli, Amy

doi:10.2514/1.34677

Cited by 36 publications

(19 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Maul et al (2008) developed a performance metric for aircraft systems. The authors demonstrated their work with an example system, which was a subsystem of a space shuttle main engine.…”

Section: Sensor Selectionmentioning

confidence: 99%

See 1 more Smart Citation

A sensor selection method for fault diagnostics

Reeves

Remenyte‐Prescott

Andrews

2017

Safety and Reliability – Theory and Applications

View full text Add to dashboard Cite

In the modern world, systems are becoming increasingly complex, consisting of large numbers of components and their failures. In order to monitor system performance and to detect faults and diagnose failures, sensors can be used. However, using sensors can increase the cost and weight of the system. Therefore, sensors need to be selected based on the information that they provide.In this paper, a sensor selection process is introduced based on a novel sensor performance metric. In this process, sensors are selected based on their ability to detect faults and diagnose failures of components in the system, as well as the severity of failure effects on system performance. A Bayesian Belief Network (BBN) is used to model the outputs of the sensors. Sensor reading evidence is introduced in the BBN to enable the component failures to be identified. A simple system example is used to illustrate the proposed approach.

show abstract

Section: Sensor Selectionmentioning

confidence: 99%

“…A number of authors, such as Santi et al (2005), Spanache et al (2004), andMaul et al (2008), used genetic algorithms to optimise the sensor selection process for various systems, such as aircraft/spacecrafts and a benchmark actuator.…”

Section: Sensor Selectionmentioning

confidence: 99%

A sensor selection method for fault diagnostics

Reeves

Remenyte‐Prescott

Andrews

2017

Safety and Reliability – Theory and Applications

View full text Add to dashboard Cite

show abstract

“…14 Maul et al adapted the work by Santi and presented a good review of the existing sensor selection, evaluation, and optimization processes suitable for health assessment of aerospace systems. 15 These methods can be used as guidelines to develop assistance systems for sensor selection in other applications.…”

Section: Introductionmentioning

confidence: 99%

“…These include quantities like observability (how well can a sensor observe object features), measurement uncertainty, sensor cost etc. 15 Maul et al also summarized different optimization techniques that are used in sensor selection systems. 15 The next important stage in the automatic sensor planning system is the sensor placement or view point generation.…”

Section: Introductionmentioning

confidence: 99%

An assistance system for the selection of sensors in multi-scale measurement systems

Burla

Haist

Lyda

2010

Interferometry XV: Applications

View full text Add to dashboard Cite

Optical inspection using multi-sensor multi-scale systems requires the selection of proper sensors, their parameters (e.g. resolution, N.A, lighting conditions), and measurement strategies. We propose an assistance system that automatically selects the suitable sensors and their parameters for an inspection specification. The specimen and the defects are described based on their properties (e.g. geometry, material etc) to the assistance system. The system then uses different "sub-assistants", each designed for a specific measurement technique, to recommend the most suitable measurement setups. The system and initial results for fringe projection techniques are presented.

show abstract

“…Sensor placement strategies for passive SHM has been a well studied subject, as demonstrated by Sohn et al [4] and Maul et al [5], who have produced lengthy reviews of existing literature in this area. However, there have only been a few, limited studies on sensor placement for ultrasonic-based structural health monitoring.…”

Section: Introductionmentioning

confidence: 99%

Feature-specific optimal sensor placement for active sensing

Flynn

Todd

2009

SPIE Proceedings

View full text Add to dashboard Cite

We propose a novel approach for optimal actuator and sensor placement for active sensing-based structural health monitoring (SHM). Of particular interest is the optimization of actuator-sensor arrays making use of ultrasonic wave propagation for detecting damage in thin plate-like structures. Using a detection theory framework, we establish the optimum configuration as the one which minimizes Bayes risk. The detector incorporates a statistical model of the active sensing process which accounts for both reflection and attenuation features, implements pulse-echo and pitchcatch actuation schemes, and takes into account line-of-site. The optimization space was searched using a genetic algorithm with a time varying mutation rate. For verification, we densely instrumented a concave-shaped plate and applied artificial, reversible damage to a large set of uniformly spaced damage locations, acquiring active sensing data for each location. We then used the algorithm to predict optimal subsets of the dense array. The predicted optimal arrangements proved to be among the top performers when compared to large sets of randomly generated arrangements.

show abstract

Sensor Selection and Optimization for Health Assessment of Aerospace Systems

Cited by 36 publications

References 22 publications

A sensor selection method for fault diagnostics

A sensor selection method for fault diagnostics

An assistance system for the selection of sensors in multi-scale measurement systems

Feature-specific optimal sensor placement for active sensing

Contact Info

Product

Resources

About