Search Results - "2012 IEEE Conference on Prognostics and Health Management"

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  1. 1

    Estimation of remaining useful life of ball bearings using data driven methodologies by Sutrisno, E., Oh, H., Vasan, A. S. S., Pecht, M.

    “…This paper describes the three methodologies used by CALCE in their winning entry for the IEEE 2012 PHM Data Challenge competition. An experimental data set…”
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    Conference Proceeding
  2. 2

    Fault prognostic of bearings by using support vector data description by Benkedjouh, T., Medjaher, K., Zerhouni, N., Rechak, S.

    “…This paper presents a method for fault prognostic of bearings based on Principal Component Analysis (PCA) and Support Vector Data Description (SVDD). The…”
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    Conference Proceeding
  3. 3

    A modified echo state network based remaining useful life estimation approach by Yu Peng, Hong Wang, Jianmin Wang, Datong Liu, Xiyuan Peng

    “…An approach to estimate the remaining useful life (RUL) by Echo State Network (ESN) is presented, which is a new paradigm in recurrent neural network (RNN)…”
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    Conference Proceeding
  4. 4

    Robust, reliable and applicable tool wear monitoring and prognostic: Approach based on an improved-extreme learning machine by Javed, Kamran, Gouriveau, R., Zerhouni, N., Zemouri, R., Xiang Li

    “…Although efforts in this field are significant around the world, real prognostics systems are still scarce in industry. Indeed, it is hard to provide efficient…”
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    Conference Proceeding
  5. 5

    Bearing life prediction based on vibration signals: A case study and lessons learned by Tianyi Wang

    “…This paper presents the Professional-category winning algorithm of bearing Remaining Useful Life (RUL) prediction for the 2012 IEEE PHM challenge problem. The…”
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    Conference Proceeding
  6. 6

    Remaining useful life estimation on the non-homogenous gamma with noise deterioration based on Gibbs filtering: A case study by Khanh Le Son, Fouladirad, M., Barros, A.

    “…Prognostic of system lifetime is a basic requirement for condition-based maintenance in many application domains where safety, reliability, and availability…”
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    Conference Proceeding
  7. 7

    PHM for railway system - A case study on the health assessment of the point machines by Ardakani, H. D., Lucas, C., Siegel, D., Shuo Chang, Dersin, P., Bonnet, B., Lee, J.

    “…Point machines are used for operating railway turn outs and are considered as critical track elements in railway assets. Failures in the point machine's…”
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    Conference Proceeding
  8. 8

    Optimization of wind turbines operation and maintenance using failure prognosis by Tamilselvan, P., Yibin Wang, Pingfeng Wang

    “…Advances in high performance sensing and signal processing technology enable the development of failure prognosis tools for wind turbines to detect, diagnose,…”
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    Conference Proceeding
  9. 9

    Remaining useful life estimation for systems with non-trendability behaviour by Porotsky, S., Bluvband, Zigmund

    “…This paper presents an approach and the presented solution of the questions raised in the IEEE PHM 2012 Conference Challenge Competition. What was given…”
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    Conference Proceeding
  10. 10

    Reliability-based product design with time-dependent performance deterioration by Zequn Wang, Pingfeng Wang

    “…A primary concern in practical engineering design is ensuring high system reliability throughout a product life-cycle subject to time-variant operating…”
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    Conference Proceeding
  11. 11

    Model based diagnostics and prognostics of three-phase induction motor for vapor compressor applications by Kraleti, R. S., Zawodniok, M., Jagannathan, S.

    “…In this work, a novel scheme for detection and prediction of multiple simultaneous faults in a three-phase induction motor in the context of vapor compression…”
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    Conference Proceeding
  12. 12

    Bearing fault prognostics based on signal complexity and Gaussian process models by Boskoski, Pavle, Gasperin, M., Petelin, D.

    “…Standard bearing fault detection features are shown to be ineffective for estimating bearings remaining useful life (RUL). Addressing this issue, in this paper…”
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    Conference Proceeding
  13. 13

    A Bayesian approach to functional sensor placement optimization for system health monitoring by Pourali, M., Mosleh, A.

    “…Prognostics and health management of a complex system require multiple sensors to extract required information from the sensed environment and internal…”
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    Conference Proceeding
  14. 14

    An approach to the health monitoring of the fuel system of a turbofan by Lamoureux, B., Masse, Jean-Remi, Mechbal, N.

    “…This paper focuses on the monitoring of the fuel system of a turbofan which is the core organ of an aircraft engine control system. The paper provides a method…”
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    Conference Proceeding
  15. 15

    Ensemble of bootstrapped models for the prediction of the remaining useful life of a creeping turbine blade by Baraldi, Piero, Mangili, F., Zio, E.

    “…The problem of predicting the Remaining Useful Life (RUL) of a creeping turbine blade is considered in this work. We assume to have a sequence of direct…”
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    Conference Proceeding
  16. 16

    Observation of prestress loss in post-tensioned concrete with FBG and LVDT sensors by Heininger, H., Mohr, F., Hannemann, U., Schmidt, R. J.

    “…We report on long-term measurement results on post-tensioned concrete specimens. A total number of 8 specimens, each of dimensions 700×150×150mm 3 and four…”
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    Conference Proceeding
  17. 17

    Level of damage and remaining useful life assessment in leadfree electronics subjected to multiple thermo-mechanical environments by Lall, P., Harsha, M., Goebel, K.

    “…Field deployed electronics us often subjected to a combination of thermal aging and thermal cycling. The thermal cycle magnitudes may vary over the lifetime of…”
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    Conference Proceeding
  18. 18

    Algorithms for embedded PHM by Bechhoefer, E., Fang, Austin

    “…Widespread adoption of Prognostics Health Management (PHM) systems can be hampered by hardware cost. One way to reduce cost, and expand the applications of PHM…”
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    Conference Proceeding
  19. 19

    Bottom-up capacities inference for health indicator fusion within multi-level industrial systems by Abichou, B., Voisin, A., Iung, B.

    “…In Prognostics and Health Management (PHM) considerations, data fusion technique is a corner step as it enables gathering non homogeneous condition information…”
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    Conference Proceeding
  20. 20

    Semi-supervised learning with co-training for data-driven prognostics by Chao Hu, Youn, B. D., Taejin Kim

    “…Traditional data-driven prognostics often requires a large amount of failure data for the offline training in order to achieve good accuracy for the online…”
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    Conference Proceeding