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Bruno Paes Lećo
Bruno Paes Lećo
Senior Key Expert, Siemens Technology
Verified email at siemens.com
Title
Cited by
Cited by
Year
Prognostics performance metrics and their relation to requirements, design, verification and cost-benefit
BP Leao, T Yoneyama, GC Rocha, KT Fitzgibbon
International Conference on Prognostics and Health Management (PHM08), Denver CO, 2008
622008
Cost-benefit analysis methodology for PHM applied to legacy commercial aircraft
BP Lećo, KT Fitzgibbon, LC Puttini, GPB de Melo
Aerospace Conference, 2008 IEEE, 1-13, 2008
532008
Failure Prognostics of a Hydraulic Pump Using Kalman Filter
JPP Gomes, BP Lećo, WOL Vianna, RKH Galvćo, T Yoneyama
Annual Conference of the Prognostics and Health Management Society, 2012
332012
Analyzing the Cascading Effect of Traffic Congestion Using LSTM Networks
S Basak, A Dubey, BP Leao
192019
Using Degradation Messages to Predict Hydraulic System Failures in a Commercial Aircraft
JPP Gomes, LR Rodrigues, BP Lećo, RKH Galvćo, T Yoneyama
IEEE Transactions on Automation Science and Engineering, 2016
182016
PROGNOSTICS AND HEALTH MONITORING FOR ELECTRO-MECHANICAL SYSTEMS AND COMPONENTS
BP Leao, JPP Gomes
US Patent App. 12/636,392, 2009
172009
Towards Environment-independent Behavior-based User Authentication Using WiFi
C Shi, J Liu, N Borodinov, B Leao, Y Chen
2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems …, 2020
142020
A Decentralized Approach for Real Time Anomaly Detection in Transportation Networks
M Wilbur, A Dubey, B Lećo, S Bhattacharjee
2019 IEEE International Conference on Smart Computing (SMARTCOMP), 274-282, 2019
142019
A new degradation indicator based on a statistical anomaly approach
JPP Gomes, RKH Galvćo, T Yoneyama, BP Lećo
IEEE Transactions on Reliability 65 (1), 326-335, 2016
142016
How to tell the good from the bad in failure prognostics methods
BP Lećo, JPP Gomes, RKH Galvćo, T Yoneyama
Aerospace Conference, 2010 IEEE, 1-7, 2010
132010
Big Data Processing for Power Grid Event Detection
BP Leao, D Fradkin, Y Wang, S Suresh
2020 IEEE International Conference on Big Data (Big Data), 4128-4136, 2020
102020
Data-Driven Detection of Anomalies and Cascading Failures in Traffic Networks
S Basak, A Ayman, A Laszka, A Dubey, B Leao
Proceedings of the Annual Conference of the PHM Society 11 (1), 2019
102019
Estimating remaining usage of a component or device
BP Leao
US Patent App. 14/508,905, 2014
102014
Method and apparatus for generating or updating an aviation simulation scenario
BP Leao, JK Klooster, G de Albuquerque Gleizer
US Patent App. 13/938,034, 2013
102013
Aircraft flap and slat systems health monitoring using statistical process control techniques
BP Lećo, JPP Gomes, RKH Galvao, T Yoneyama
2009 IEEE Aerospace conference, 1-8, 2009
102009
Improvements on the offline performance evaluation of fault prognostics methods
BP Leao, JPP Gomes, T Yoneyama
Aerospace Conference, 2011 IEEE, 1-6, 2011
82011
Failure prognosis methods and offline performance evaluation
BP Lećo
Doctor in science, Instituto Tecnológico de Aeronįutica, Sao José dos Campos, 2011
82011
System and method for determining operational restrictions for vehicle control
J Brooks, HK Mathews Jr, D Dai, RS Chandra, G de Albuquerque Gleizer, ...
US Patent 9,676,403, 2017
72017
Unsupervised Power System Event Detection and Classification Using Unlabeled PMU Data
T Lan, Y Lin, J Wang, B Leao, D Fradkin
2021 IEEE PES Innovative Smart Grid Technologies (ISGT) Europe, 2021
62021
Asymmetric Unscented Transform for Failure Prognosis
BP Lećo, T Yoneyama, JPP Gomes
IEEE Transactions on Reliability 65 (3), 1406-1415, 2016
62016
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