... , “ An Adaptive SPC Approach for Multi-Sensor Fusion and Monitoring of Time-Varying Processes ,” Proc. CIRP , 12 , pp. 61 – 66 . 10.1016/j.procir.2013.09.012 Basir , O. , and Yuan , X. , 2007 , “ Engine Fault Diagnosis Based on Multisensory Information Fusion Using Dempster–Shafer Evidence...

... response fault diagnosis High speed rolling bearings are widely used in aero-engines, high speed spindles, and other rotational machinery. Localized defects, such as pits, cracks, and spalls, may be generated in bearings during operations. When rolling elements roll over defects, shock pulses...

...Fei Hu; Qingbo He; Jianping Wang; Zhigang Liu; Fanrang Kong As one of the most important parameters in evaluating the status of a DC motor, commutation spark has been widely used in condition monitoring and fault diagnosis. A new approach using image processing techniques on the commutation spark...

.... The present model is more accurate than the existing linear model and one-sided quadratic model, which is verified through numerical examples. It has potential applications in fixture design, fault diagnosis, and tolerance analysis. The second order Taylor expansion of Eq. 13 around d 0...

... be implemented on wireless motes and deployed for real-time monitoring, diagnostics, and prognostics in a wide variety of industrial environments. 07 09 2009 27 08 2010 05 10 2010 05 10 2010 approximation theory computerised numerical control failure analysis fault diagnosis...

... and adaptive fault diagnosis can be simultaneously obtained. Experimental results in a turning process illustrate that the tool wear state can be successfully detected, and previously unknown tool wear processes can be identified at the early stages using the MHMM. Jardine , A. K. S. , Lin , D...

...Lai Xinmin; Tian Zhaoqing; Lin Zhongqin The fault diagnosis plays an important role for product quality improvement in the multistation assembly processes (MAPs) and the efficiency of diagnosis significantly depends on the sensor distribution strategy, such as the number and location of the sensor...

... (KPCs) remains one of the most critical research topics in dimensional control. This paper proposes a new approach for multiple fault diagnosis in a multistation assembly process by integrating multivariate statistical analysis with engineering models. The proposed method is based on the following steps...

..., which are generally neglected in macroscale end milling, affect the microend mill stability significantly. 10 03 2005 28 03 2006 milling fault diagnosis design engineering shearing mechanical stability vibrations machine tool spindles error analysis Since the edge radius...

... 2005 data mining manufacturing industries reviews manufacturing processes decision support systems fault diagnosis quality management customer relationship management standardisation production engineering computing production planning Knowledge is the most valuable asset...

... of manufacturing processes. 25 08 2004 21 07 2005 quality management manufacturing processes pattern matching eigenvalues and eigenfunctions matrix algebra productivity fault diagnosis Due to the inevitable random disturbances on the operations and other inherent variability...

...Y. G. Liu; S. J. Hu A new approach to fixture fault diagnosis, designated component analysis (DCA), is proposed for automotive body assembly systems using multivariate statistical analysis. Instead of estimating the fault patterns solely from the process data as in principal component analysis (PCA...

.... 17 December 2002 07 February 2004 21 03 2005 object recognition integrated circuit manufacture industrial manipulators end effectors optical sensors position control fault diagnosis electronics industry Manufacturing Automation Robotics Eccentricity Recognition...

... 07 2004 fault diagnosis condition monitoring maintenance engineering regression analysis wavelet transforms lifts maximum likelihood estimation feature extraction Prognostics Logistic Regression Degradation Assessment Fault Modes Classification Considerable efforts...

...Jaime A. Camelio; S. Jack Hu This paper presents a new approach to multiple fault diagnosis for sheet metal fixtures using designated component analysis (DCA). DCA first defines a set of patterns based on product/process information, then finds the significance of these patterns from...

...Rixin Zhu; Richard E. DeVor; Shiv G. Kapoor In this paper, a process model-based approach has been proposed for monitoring and fault diagnosis in the multi-axis ball end milling process. Besides its ability to deal with complex cutting geometry in free-form surface machining, the method has...

... analysis machine tools fault diagnosis In production machining operations such as transfer lines, monitoring and evaluating thread quality is important but direct measurement of thread quality is difficult. The quality of the tapping operation depends on many parameters such as the pre-drilled...

... propagation and fault pattern vectors is developed by using the state space model. A PCA-based algorithm similar to the one proposed in 5 is employed for single fault diagnosis. Analytical upper bounds of the perturbation in pattern vectors due to the correlated noise are found using matrix perturbation...

... Engineering Division for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING . Manuscript received August 1999; revised March 2000. Technical Editor: E. C. DeMeter. 01 August 1999 01 March 2000 automobiles assembling least squares approximations fault diagnosis...

...Q. Rong; D. Ceglarek; J. Shi A model-based diagnostic methodology is proposed for the dimensional fault diagnosis of compliant beam structures in automotive or aerospace assembly processes. In the diagnosis procedure, the product measurement data are used to detect and isolate dimensional faults...