General Aviation Approach and Landing Analysis using Flight Data Records

Puranik, Tejas G.; Harrison, Evan; Min, Sanggyu; Jiménez, Hernando; Mavris, Dimitri N.

doi:10.2514/6.2016-3913

Cited by 16 publications

(13 citation statements)

References 9 publications

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“…In other work by the authors in Puranik et al, 33 various aspects of defining a nominal approach and landing trajectory for GA applications are explored. As noted previously, defining a nominal profile for altitude and velocity is important for defining some energy metrics identified from literature.…”

Section: A Defining a Nominal Trajectorymentioning

confidence: 99%

“…This problem has been addressed by the authors in a parallel effort. 33 2. In addition to the metrics defined earlier, defining the limits of aircraft operation is also important.…”

Section: Challenges and Opportunities For General Aviation Applimentioning

confidence: 99%

“…Further insights and details on the implementation can be found in Puranik et al 33 For the purpose of implementing energy metrics, the average profiles are used.…”

Section: A Defining a Nominal Trajectorymentioning

confidence: 99%

“…These metrics are not used in the current work but in a companion paper by the authors on finding the nominal energy profiles. 33 In that paper, the aggregate metrics are used to obtained weighted reference profiles which can then be utilized here.…”

Section: Summary and Interpretation Of Implemented Energy Metricsmentioning

confidence: 99%

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Energy-Based Metrics for General Aviation Flight Data Record Analysis

Puranik

Harrison

Min

et al. 2016

16th AIAA Aviation Technology, Integration, and Operations Conference

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Energy management and energy state awareness are important concepts in aircraft safety analysis. Many loss-of-control accidents can be attributed to poor energy management. Energy-based metrics provide a measurable quantity of the energy state of the aircraft and can be viewed as an objective currency to evaluate various safety-critical conditions. In this work, we have surveyed key energy-based metrics from various domains and identified the challenges of implementing these metrics for General Aviation operations. Modifications to existing metrics and definition of some new energy metrics are proposed. A methodology is developed that can be used to evaluate and visualize the energy metrics. These energy metrics can then be used to understand and enhance General Aviation aircraft safety using retrospective flight data analysis.

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Section: A Defining a Nominal Trajectorymentioning

confidence: 99%

“…This problem has been addressed by the authors in a parallel effort. 33 2. In addition to the metrics defined earlier, defining the limits of aircraft operation is also important.…”

Section: Challenges and Opportunities For General Aviation Applimentioning

confidence: 99%

“…Further insights and details on the implementation can be found in Puranik et al 33 For the purpose of implementing energy metrics, the average profiles are used.…”

Section: A Defining a Nominal Trajectorymentioning

confidence: 99%

Section: Summary and Interpretation Of Implemented Energy Metricsmentioning

confidence: 99%

See 2 more Smart Citations

Energy-Based Metrics for General Aviation Flight Data Record Analysis

Puranik

Harrison

Min

et al. 2016

16th AIAA Aviation Technology, Integration, and Operations Conference

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“…In the previous work (Puranik et al [10,11]), the authors conducted a thorough literature review of existing energy based metrics used in aircraft performance studies and defined some completely new metrics using GA flight data. Methods of generating a data-driven reference profile of different metrics was demonstrated in Puranik et al [12]. The feasibility of using these energy metrics, reference profiles, and performance models in conjunction was explored.…”

Section: Introductionmentioning

confidence: 99%

Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records

Puranik

Mavris

2018

Journal of Aerospace Information Systems

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Among operations in the General Aviation community, one of the most important objectives is to improve safety across all flight regimes. Flight data monitoring or Flight Operations Quality Assurance programs have percolated in the General Aviation sector with the aim of improving safety by analyzing and evaluating flight data. Energy-based metrics provide measurable indications of the energy state of the aircraft and can be viewed as an objective currency to evaluate various safety-critical conditions. The use of data mining techniques for safety analysis, incident examination, and fault detection is gaining traction in the aviation community. In this paper, a generic methodology is presented for identifying anomalous flight data records from General Aviation operations in the approach and landing phase. Energybased metrics, identified in previous work, are used to generate feature vectors for each flight data record. Density-based clustering and one-class classification are then used together for anomaly detection using energy-based metrics. A demonstration of this methodology on a set of actual flight data records from routine operations as well as simulated flight data is presented highlighting its potential for retrospective safety analysis. Anomaly detection using energy metrics, specifically, is a novel application presented here.

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