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Factors affecting femoral varus osteotomy in cerebral palsy: a long-term result over 10 years
Oh, Chang-Wug,Presedo, Ana,Dabney, Kirk W.,Miller, Freeman Lippincott Williams Wilkins, Inc. 2007 Journal of pediatric orthopedics. Part B Vol.16 No.1
The present study was conducted to review the long-term results of femoral varus osteotomy with/without pelvic osteotomy of spastic cerebral palsy. We also evaluated the spastic hip score with following factors: migration index of Reimer’s, Shenton’s line, shape of the femoral head, shape of the roof of the acetabulum, and presence of windblown effect. Of the 31 children (61 hips) reviewed, 49 hips (80%) had satisfactory outcomes after 10 years of follow-up. Twelve hips showed unsatisfactory outcomes with recurrent dislocation or significant osteoarthritis. A low preoperative spastic hip score was more indicative of a better outcome.
A new approach to deal with sensor errors in structural controls with MR damper
Han Wang,Luyu Li,Gangbing Song,James B. Dabney,Thomas L. Harman 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.16 No.2
As commonly known, sensor errors and faulty signals may potentially lead structures in vibration to catastrophic failures. This paper presents a new approach to deal with sensor errors/faults in vibration control of structures by using the Fault detection and isolation (FDI) technique. To demonstrate the effectiveness of the approach, a space truss structure with semi-active devices such as Magneto-Rheological (MR) damper is used as an example. To address the problem, a Linear Matrix Inequality (LMI) based fixed-order H∞ FDI filter is introduced and designed. Modeling errors are treated as uncertainties in the FDI filter design to verify the robustness of the proposed FDI filter. Furthermore, an innovative Fuzzy Fault Tolerant Controller (FFTC) has been developed for this space truss structure model to preserve the pre-specified performance in the presence of sensor errors or faults. Simulation results have demonstrated that the proposed FDI filter is capable of detecting and isolating sensor errors/faults and actuator faults e.g., accelerometers and MR dampers, and the proposed FFTC can maintain the structural vibration suppression in faulty conditions.