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| 1 | Gearbox Deterioration Detection under Steady State,Variable Load, and Variable Speed Conditions显示文摘Multiple dominant gear meshing frequencies are present in the vibration signals collected from gearboxes and the conventional spiky features that represent initial gear fault conditions are usually difficult to detect. In order to solve this problem, we propose a new gearbox deterioration detection technique based on autoregressive modeling and hypothesis testing in this paper. A stationary autoregressive model was built by using a normal vibration signal from each shaft. The established autoregressive model was then applied to process fault signals from each shaft of a two-stage gearbox. What this paper investigated is a combined technique which unites a time-varying autoregressive model and a two sample Kolmogorov-Smirnov goodness-of-fit test, to detect the deterioration of gearing system with simultaneously variable shaft speed and variable load. The time-varying autoregressive model residuals representing both healthy and faulty gear conditions were compared with the original healthy time-synchronous average signals. Compared with the traditional kurtosis statistic, this technique for gearbox deterioration detection has shown significant advantages in highlighting the presence of incipient gear fault in all different speed shafts involved in the meshing motion under variable conditions. | SHAO Yimin CHRIS K Mechefske OU Jiafu HU Yumei | 2009 | Chinese Journal of Mechanical Engineering2009，22，2： | 6 |
| 2 | Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system显示文摘Gas Turbine Engines(GTEs) are vastly used for generation of mechanical power in a wide range of applications from airplane propulsion systems to stationary power plants.The gaspath components of a GTE are exposed to harsh operating and ambient conditions, leading to several degradation mechanisms.Because GTE components are mostly inaccessible for direct measurements and their degradation levels must be inferred from the measurements of accessible parameters, it is a challenge to acquire reliable information on the degradation conditions of the parts in different fault modes.In this work, a data-driven fault detection and degradation estimation scheme is developed for GTE diagnostics based on an Adaptive Neuro-Fuzzy Inference System(ANFIS).To verify the performance and accuracy of the developed diagnostic framework on GTE data, an ensemble of measurable gas path parameters has been generated by a high-fidelity GTE model under(a) diverse ambient conditions and control settings,(b) every possible combination of degradation symptoms, and(c) a broad range of signal to noise ratios.The results prove the competency of the developed framework in fault diagnostics and reveal the sensitivity of diagnostic results to measurement noise for different degradation symptoms. | Houman HANACHI Jie LIU Christopher MECHEFSKE | 2018 | Chinese Journal of Aeronautics2018，31，1： | 5 |
| 3 | Robust detection of gearbox deterioration using compromised autoregressive modeling and Kolmogorov-Smirnov test statistic-Part I:Compromised autoregressive modeling with the aid of hypothesis tests and simulation analysis显示文摘 | Zhan Y M Mechefske C K | 2007 | Mechanical Systems and Signal Processing2007，21，5： | 1 |
| 4 | Robust detection of gearbox deterioration using compromised autoregressive modeling and Kolmogorov-Smirnov test statistic-Part I: Compromised autoregressive modelingwith the aid of hypothesis tests and simulation analysis 显示文摘 | Zban Y M Mechefske C K | 2007 | Mechanical Systems and Signal Processing2007，21，5： | 1 |
| 5 | Correlating Power Transformer Tank Vibration Characteristics to Winding Looseness 显示文摘 | Chris K Mechefske | 1995 | Insight1995，37，8： | 1 |
| 6 | Experimental investigation of reflection in guided wave-based inspection for the characterization of pipeline defects显示文摘 | Xiaojuan Wang Peter W. Tse Chris K. Mechefske Meng Hua | 2010 | NDT and E International2010，，4： | 1 |
| 7 | Robust detection ofgearbox deterioration using compromised autoregressivemodeling and Kolmogorov-Smirnov test statistic-PartⅠ:Compromised autoregressive modeling with the aid ofhypothesis tests and simulation analysis显示文摘 | ZHAN Y M MECHEFSKE C K | 2007 | MechanicalSystem and Signal Processing2007，21，5： | 1 |
| 8 | Active feedback control using adaptive filtering显示文摘 | WANG F MECHEFSKE C K | 2004 | Journal of Vibration and Control2004，10，1： | 1 |
| 9 | An analytical model to investigate skidding in rolling element bearings during acceleration显示文摘 | TU Wenbing SHAO Yimin MECHEFSKE C K | 2012 | Journal of Mechanical Science andTechnology2012，26，8： | 1 |
| 10 | Driving axle housing failure analysis of a mining dump truck based on the load spectrum显示文摘 | SHAO Yimin LIU Jing MECHEFSKE C K | 2011 | Engineering Failure Analysis2011，18，3： | 1 |
| 11 | Objective machinery fault diagnosis using fuzzy logic显示文摘 | MECHEFSKE C K | 1998 | Mechanical System and Signal Processing1998，12，： | 1 |
| 12 | Fault detection using transient machine signals 显示文摘 | Timusk M Lipsett M Mechefske C K | 2008 | Mechanical Systems and Signal Processing2008，22，7： | 1 |
| 13 | Correlating power transformer tank vibra tion characteristics to winding Iooseness显示文摘 | Mechefske K C | 1995 | Signt Non-De struetive Testing and Condition Monitoring1995，37，8： | 1 |
| 14 | Parametric spectral estimation to detect and diagnose faults显示文摘 | Mathew J | 1993 | Mechanical System and Signal Processing1993，7，1： | 1 |
| 15 | Correlating power transformer tank vibration characteristics to winding looseness显示文摘 | Mechefske C K | 1995 | Insight:Non-Destructive Testing and Condition Monitoring1995，37，8： | 1 |
| 16 | Experimental investigation of reflection in guided wave-based inspection for the characterization of pipeline defects显示文摘 | WANG X PETER W T MECHEFSKE C K | 2010 | Nondestructive Testing and Evaluation International2010，43，4： | 1 |
| 17 | Opportunistic electrodereplacement in a robotic spot welding system显示文摘 | MECHEFSKE C K ZENG C | 2006 | International Journal of Computer IntegratedManufacturing2006，19，4： | 1 |
| 18 | Optimal damping layout in a shell structure using topology optimization 显示文摘 | Kim S Y Mechefske C K Kim I Y | 2013 | Journal of Sound and Vibration2013，332，： | 1 |
| 19 | Drive axle housing failure analysis of a mining dump truck based on the load spectrum显示文摘 | Shao Y Liu J Mechefske C K | 2011 | Engineer- ing Failure Analysis2011，18，3： | 1 |
| 20 | Robust Detection of Using Compromised Autoregressive Modeling and Kolmogorov- Smirnov Test Statistic- Part I : Compromised Autoregressive Modeling with the Aid of Hypothesis Tests and Simulation Analysis显示文摘 | Zhan Y M Mechefske Gearbox Deteriorateion C K | 2007 | Mechanical System and Signal Processing2007，21，： | 1 |
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