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  • ASME International  (4)
  • Zhang, J.  (4)
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  • ASME International  (4)
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  • 1
    Online Resource
    Online Resource
    An Evaluation of Engine Faults Diagnostics Using Artificial Neural Networks
    ASME International ; 2001
    In:  Journal of Engineering for Gas Turbines and Power Vol. 123, No. 2 ( 2001-04-01), p. 340-346
    Details
    In: Journal of Engineering for Gas Turbines and Power, ASME International, Vol. 123, No. 2 ( 2001-04-01), p. 340-346
    Abstract: Application of artificial neural network (ANN)-based method to perform engine condition monitoring and fault diagnosis is evaluated. Back-propagation, feedforward neural nets are employed for constructing engine diagnostic networks. Noise-contained training and testing data are generated using an influence coefficient matrix and the data scatters. The results indicate that under high-level noise conditions ANN fault diagnosis can only achieve a 50–60 percent success rate. For situations where sensor scatters are comparable to those of the normal engine operation, the success rates for both four-input and eight-input ANN diagnoses achieve high scores which satisfy the minimum 90 percent requirement. It is surprising to find that the success rate of the four-input diagnosis is almost as good as that of the eight-input. Although the ANN-based method possesses certain capability in resisting the influence of input noise, it is found that a preprocessor that can perform sensor data validation is of paramount importance. Autoassociative neural network (AANN) is introduced to reduce the noise level contained. It is shown that the noise can be greatly filtered to result in a higher success rate of diagnosis. This AANN data validation preprocessor can also serve as an instant trend detector which greatly improves the current smoothing methods in trend detection. It is concluded that ANN-based fault diagnostic method is of great potential for future use. However, further investigations using actual engine data have to be done to validate the present findings.
    Type of Medium: Online Resource
    ISSN: 0742-4795 , 1528-8919
    URL: Article
    DOI: 10.1115/1.1362667
    Language: English
    Publisher: ASME International
    Publication Date: 2001
    detail.hit.zdb_id: 2010437-6
    detail.hit.zdb_id: 165371-4
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Coefficients and Orders Identification of Fractional Order Systems Based on Block Pulse Functions Through Two-Stage Algorithm
    ASME International ; 2022
    In:  Journal of Dynamic Systems, Measurement, and Control Vol. 144, No. 7 ( 2022-07-01)
    Details
    In: Journal of Dynamic Systems, Measurement, and Control, ASME International, Vol. 144, No. 7 ( 2022-07-01)
    Abstract: In this paper, we propose a method based on a two-stage algorithm to simultaneously identify the coefficients and fractional differentiation orders of fractional order systems (FOSs) with commensurate order. The proposed method adopts the fractional integral operational matrix of block pulse functions (BPFs) to convert the FOS to a linear parameter regression equation. Then, a two-stage algorithm is developed to identify the coefficients and orders. First, with the orders fixed, the coefficients are identified using the instrumental variable-based recursive least square algorithm. Then, with the identified coefficients fixed, the orders are estimated using the Gauss–Newton iterative algorithm. The above process iterates until the stop criterion is met. Two identification examples are given to verify the effectiveness of the proposed method.
    Type of Medium: Online Resource
    ISSN: 0022-0434 , 1528-9028
    URL: Article
    DOI: 10.1115/1.4054126
    Language: English
    Publisher: ASME International
    Publication Date: 2022
    detail.hit.zdb_id: 240760-7
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Parameter Identification of Fractional Order Systems Using a Collocation Method Based on Hybrid Functions
    ASME International ; 2020
    In:  Journal of Dynamic Systems, Measurement, and Control Vol. 142, No. 8 ( 2020-08-01)
    Details
    In: Journal of Dynamic Systems, Measurement, and Control, ASME International, Vol. 142, No. 8 ( 2020-08-01)
    Abstract: In this paper, we propose a novel collocation method based on hybrid functions to identify the parameters and differential orders of fractional order systems (FOS). The hybrid functions consist of block-pulse functions and Taylor polynomials. The analytical form of Riemann–Liouville fractional order integral operator of these hybrid functions is derived using the Laplace transform. Then the integral operator is utilized, in conjunction with collocation points, to convert the FOS into an algebraic system directly. The parameters and differential orders of the FOS are estimated by minimizing the error between the output of the actual system and that of the estimated system. The effectiveness of the proposed method is verified through four examples.
    Type of Medium: Online Resource
    ISSN: 0022-0434 , 1528-9028
    URL: Article
    DOI: 10.1115/1.4046551
    Language: English
    Publisher: ASME International
    Publication Date: 2020
    detail.hit.zdb_id: 240760-7
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    Online Resource
  • 4
    Online Resource
    Online Resource
    Application of Large Eddy Simulation to Flow Past a Circular Cylinder
    ASME International ; 1997
    In:  Journal of Offshore Mechanics and Arctic Engineering Vol. 119, No. 4 ( 1997-11-01), p. 219-225
    Details
    In: Journal of Offshore Mechanics and Arctic Engineering, ASME International, Vol. 119, No. 4 ( 1997-11-01), p. 219-225
    Abstract: A steady approach flow around a circular cylinder is investigated by using a large eddy simulation (LES) with the Smagorinsky subgrid-scale model. A second-order accurate in time fractional-step method and a combined finite-difference/spectral approximation are employed to solve the filtered three-dimensional incompressible Navier-Stokes equations. To demonstrate the viability and accuracy of the method, we present results at Reynolds numbers of 100, 3 × 103, 2 × 104, and 4.42 × 104. At Re = 100, the physical flow is two-dimensional and the calculation is done without use of the LES method. For the higher values of Re, the flow in the wake is three-dimensional and turbulent and the LES method is necessary to describe the flow accurately. Calculated values of lift and drag coefficients and Strouhal number are in good agreement with the experimentally determined values at all of the Reynolds numbers for which calculation was done.
    Type of Medium: Online Resource
    ISSN: 0892-7219 , 1528-896X
    URL: Article
    DOI: 10.1115/1.2829099
    Language: English
    Publisher: ASME International
    Publication Date: 1997
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