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Fault detection of taper roller bearings using tunable Q-factor wavelet transform and fault classification using long–short-term memory network
Abstract Taper roller bearing is a widely used moving component in heavy industrial machinery. Hence, early detection and repair of even minor faults in taper roller bearing is a fault diagnosis and prognosis strategy followed by modern industries. Although many methods for this exist today, the penetration of artificial intelligence and big data analysis into modern industries opens up the possibility of developing better fault diagnosis methods. Such a fault diagnosis and fault classification strategy is going to be discussed in this article. For that, a Tunable Q-factor Wavelet Transform (TQWT) is employed for signal processing, and a Long–Short-Term Memory (LSTM) network is employed for fault classification in this work. It is clear from the experimental findings that the TQWT and LSTM combination can very efficiently and reliably diagnose the faults present in the bearings, and it can classify the types of faults with one hundred percent accuracy. Also, the superiority of the method proposed in this article is confirmed by the fact that it is able to produce better results when compared with the other four combinations of Variational Mode Decomposition (VMD) and Convolutional Neural Network (CNN).
Putting the brakes on mitochondrial fusion to prevent escape of mitochondrial DNA
Holding and amplifying electromagnetic waves with temporal non-foster metastructures
A population‑based propensity score matching analysis of neoadjuvant compared to adjuvant chemotherapy in luminal breast cancer
Fish gills and human ears share the same genetic blueprint
Temporal stability of forest productivity declines over stand age at multiple spatial scales
Sub pulse length event measurement in BOTDR system using slope assisted Brillouin frequency shift
Move over graphene! Scientists forge bismuthene and host of atoms-thick metals
Interplay between hole superconductivity and quantum critical antiferromagnetic fluctuations in electron-doped cuprates
Generative AI lacks the human creativity to achieve scientific discovery from scratch
Separator with high ionic conductivity enables electrochemical capacitors to line-filter at high power
Abstract Line-filtering electrochemical capacitors (LFECs) are demonstrating advantages in line filtering over traditional electrolytic capacitors. However, they can only function at no-load or low-power conditions due to the limited high-frequency capacitance resulting from the excessive ionic resistance, despite much progress in electrode materials. Here, we show separators dominate both ion migration and capacitance in LFECs. A 3 μm-thick thread-anchor structured separator is developed, featuring both accelerated ionic transport and reliability, leading to a low ionic resistance of 25 mΩ cm2. With a phase angle of −80° at 120 Hz, the assembled device has an areal capacitance of 6.6 mF cm−2. Furthermore, stack integration in parallel breaks the trade-off between capacitance and frequency response, boosting the areal capacitance by two orders of magnitude without decay of frequency characteristics. The On-board field test demonstrates that voltage ripples are steadily suppressed below 5% even for practical high-power line filtering with a load power density of 2.5 W cm−2, three orders of magnitude higher than previous instances. This work opens up a perspective of separator engineering for the development of high-performance line-filtering electrochemical capacitors and promotes their applications in practical high-power scenarios.
ULTRAWX: A ubiquitous realtime acoustic gesture information interaction system based on Tiou DODA
Adipose progenitor cell-derived extracellular vesicles suppress macrophage M1 program to alleviate midlife obesity
Limited effect of antibiotic use on the management of pulmonary ground-glass nodules
A multi-scale microstructure to address the strength-ductility trade off in high strength steel for fusion reactors
Abstract Fusion reactor materials for the first wall and blanket must have high strength, be radiation tolerant and be reduced activation (low post-use radioactivity), which has resulted in reduced activation ferritic/martensitic (RAFM) steels. The current steels suffer irradiation-induced hardening and embrittlement and are not adequate for planned commercial fusion reactors. Producing high strength, ductility and toughness is difficult, because inhibiting deformation to produce strength also reduces the amount of work hardening available, and thereby ductility. Here we solve this dichotomy to introduce a high strength and high ductility RAFM steel, produced by a modified thermomechanical process route. A unique multiscale microstructure is developed, comprising nanoscale and microscale ferrite, tempered martensite containing fine subgrains and a high density of nanoscale precipitates. High strength is attributed to the fine grain and subgrain and a higher proportion of metal carbides, while the high ductility results from a high mobile dislocation density in the ferrite, subgrain formation in the tempered martensite, and the bimodal microstructure, which improves ductility without impairing strength.