... emission waspalloy turning condition monitoring machining processes sensing monitoring and diagnostics tribology in manufacturing Wear is the driving mechanism of mechanical damage of sliding elements [ 1 , 2 ]. The principle types of mechanical wear pertaining to sliding friction...

... , “ Leakage Monitoring in Static Sealing Interface Based on Three Dimensional Surface Topography Indicator ,” ASME J. Manuf. Sci. Eng. , 140 ( 10 ), p. 101003 . 10.1115/1.4040620 Montazeri , M. , and Rao , P. , 2018 , “ Sensor-Based Build Condition Monitoring in Laser Powder Bed Fusion...

...Yong Wang; Adam J. Brzezinski; Xianli Qiao; Jun Ni In this paper, we develop and apply feature extraction and selection techniques to classify tool wear in the gear shaving process. Because shaving tool condition monitoring is not well-studied, we extract both traditional and novel features from...

...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...

... practice. hierarchical classification multi-operation forging process monitoring and diagnosis tonnage signal condition monitoring dies (machine tools) forging principal component analysis process monitoring 05 11 2008 11 08 2010 04 10 2010 04 10 2010 2010...

...John T. Roth; Dragan Djurdjanovic; Xiaoping Yang; Laine Mears; Thomas Kurfess Tool condition monitoring (TCM) is an important aspect of condition based maintenance (CBM) in all manufacturing processes. Recent work on TCM has generated significant successes for a variety of cutting operations...

...Seungchul Lee; Lin Li; Jun Ni Online condition monitoring and diagnosis systems play an important role in the modern manufacturing industry. This paper presents a novel method to diagnose the degradation processes of multiple failure modes using a modified hidden Markov model (MHMM) with variable...

... of the proposed method. 01 09 2008 18 03 2009 05 05 2009 assembling automobile industry automotive engineering condition monitoring decision making machinery maintenance engineering Markov processes condition-based maintenance multiple machine system continuous time Markov...

...Christopher A. Suprock; John T. Roth; Larry M. Downey In this paper, an endmill condition monitoring technique is presented for curvilinear cutting. This algorithm operates without the need for prior knowledge of cutting conditions, tool type, cut curvature, cut direction, or directional rate...

..., and wheel wear from a plunge grinding test bed show the effectiveness of the proposed method. 20 11 2006 06 03 2008 05 06 2008 acoustic emission testing condition monitoring grinding grinding machines learning (artificial intelligence) machining chatter process monitoring...

... microsensors yield great potential to improve fundamental understanding of numerous manufacturing processes by providing in situ sensing data with high spatial and temporal resolution at critical locations. 29 11 2005 25 09 2006 microsensors condition monitoring process control rapid...

... and deposition in CC 06 06 2003 16 08 2006 condition monitoring process monitoring extrusion layered manufacturing integrated circuit manufacture prosthetics cost reduction failure analysis quality management The current thrust of industries towards mass customization...

... of SVR with two of the most popular techniques used in condition monitoring, partial least squares, and principal components regression. Our results show that we can improve the performance of shaft misalignment prediction using SVR and the approach compares very favorably with partial least squares...

... computing condition monitoring signal processing 02 12 2003 02 09 2005 2006 American Society of Mechanical Engineers ...

..., the ability of the technique to monitor tools that change cutting directions, such as end mills, is still an open question. eigenvalues and eigenfunctions cutting cutting tools condition monitoring accelerometers nonelectric sensing devices 06 01 2003 20 05 2005 2006 American...

...Yong Huang, Assistant Professor,; Steven Y. Liang, Professor, Quantitative understanding of cutting forces under hard turning conditions is important for thermal modeling, tool life estimation, chatter prediction, and tool condition monitoring purposes. Although significant research has been...

...Xiaoli Li, Professor; R. Du, Professor This paper presents a new condition monitoring method based on a latent process model. The method consists of three steps. First, a sensor signal is modeled by a latent process model that is a combination of a time-varying auto-regression model and a dynamic...

...Yonghong Peng Extensive research has been performed to investigate effective techniques, including advanced sensors and new monitoring methods, to develop reliable condition monitoring systems for industrial applications. One promising approach to develop effective monitoring methods...

... Green’s function or by observing its response behavior when some disturbances are injected into its characteristics equation. Dimla , J. R. , Lister , D. E. , and Leighton , N. J. , 1991 , “ Neural Network Solution to the Tool Condition Monitoring Problem in Metal Cutting...

... 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...