...Louis Oh; Emil Pitz; Kishore Pochiraju This article presents a spindle condition monitoring methodology using a low-power smart vibration sensor and a near real-time deep neural network (DNN) classifier. The most frequent spindle failures, such as imbalance, ingression, and evidence of a crash...

..., machine learning (ML), and artificial intelligence. The significant research area in predictive maintenance is tool condition monitoring (TCM) as the tool condition affects the overall machining process and its economics. Lately, machine learning techniques are being used to classify the tool’s condition...

... vibro-acoustic condition monitoring scheme while diagnosing the local/lumped defects exist at different speed stages of a multi-stage gearbox subjected to fluctuating/varying speeds. Experiments are performed, and the raw vibration and acoustic signatures are acquired simultaneously from the three-stage...

...Vishal G. Salunkhe; R. G. Desavale Bearing failure in the heavy rotating machines results in shut down of many other machines and affects the overall cost and quality of the product. Condition monitoring of bearing systems acts as a preventive and corrective measure as it avoids breakdown and saves...

...: parbantsinghsandhu@gmail.com Emails: surajfme@iitr.ac.in ; surajfme@iitr.ernet.in 04 07 2019 13 12 2019 14 12 2019 13 01 2020 rolling element bearing localized defect condition monitoring analysis of variance (ANOVA) response surface methodology failure analysis fault...