... Abstract Fault detection techniques in metal additive manufacturing (AM) have explored a variety of monitoring methods to flag anomalies as they occur during the sintering process. Although many in-situ techniques are able to adeptly detect these abnormalities, several utilize machine learning...

... with the description and preliminary results of a pilot test of the rig. Features of Acoustic emission waves are used for the health monitoring and fault detection. The proposed method of using AE wave segments to construct a surface plot of features is presented. The usage of a high precision encoder to map...

... faults under different operating conditions, an effort is made to find fault distinguishing features, which are lesser sensitive to operating conditions. Artificial neural network (ANN) and K-nearest neighbors (KNN) are used as classifiers for fault detection. Performance comparison between both...

... of the machine tools. This study develops a novel hybrid algorithm combining the Zero Resonator Frequency Filter (ZRFF) and the Discrete Wavelet Packet Transform (DWPT) for early spindle bearing fault detection and diagnosis. The integrated method uses the ZRFF as the first level of de-noising the vibration...

... a diagnosis. The technique is demonstrated with a diagnostic system for automobile handling. diagnostics multi-modal fault detection Bayesian networks vehicle handling Proceedings of 2001 ASME International Mechanical Engineering Congress and Exposition November 11-16, 2001, New York, NY DSC-Vol...

... Abstract In this paper, signal analysis techniques based on Teager-Kaiser energy operation and envelope spectra for fault detection of the discharge valve of a reciprocating compressor is proposed. The method can accurately identify the existing fault of vibration signal features...

... and noise eccentricity fault detection waterfall diagram MULTIPHYSICS SIMULATION ON VIBRATION AND NOISE OF VARIABLE-SPEED PERMANENT MAGNET BRUSHLESS DC MOTOR WITH ECCENTRICITY Hui Niu, Yumin Xiao, Li Zhao, David Roche, Yashu Li, Marius Rosu, John Gilmore Ansys Inc., Canonsburg, PA, USA ABSTRACT...

... approaches are based on non-newtonian yield stress fluids flow by using the Bingham MR Damper Model, relating the relative displacement of the piston, the frictional force, a damping constant, the stiffness of the elastic element of the damper and an offset force. The Fault detection and isolation module...

... The implementation of fault detection techniques in industrial systems for process monitoring has proven to be a useful tool to process operators supervising the plant’s operation conditions. As plants become more instrumented, more data is available for fault detection applications...

... Local faults in a gearbox cause impacts and the collected vibration signal is often non-stationary. Identification of impulses within the non-stationary vibration signal is key to fault detection. Recently, the technique of Empirical Mode Decomposition (EMD) was proposed as a new tool...

... 01 2008 Wavelet transform FFT spectrum analysis hydraulic pump multi-resolution analysis (MRA) fault detection Fey C. G. , Totten G. E. , and Sun Y. H. , 1999 , “ Analysis of common failure modes of axial piston pumps ,” ASTM Special Technical Publication , 1339...

... This paper presents a parameter sensitivity analysis for a low-order control-oriented dynamic model of a subcritical vapor compression system. The results are used to tune immeasurable model parameters, account for the unmodeled system dynamics, and are applied to fault detection residual design...