Results 61 to 70 of about 2,208 (153)
The contributions of this paper are mainly reflected in: (1) A method for determining the modes number of VMD using SVS technology is proposed, which can effectively avoid the shortcomings of the optimization algorithm. (2) The TSM index is established to describe the transient structure of bearing fault signals, and the balance factor selection based ...
Xing Yuan, Hui Liu, Huijie Zhang
wiley +1 more source
A p$p$‐adic approach to the existence of level‐raising congruences
Abstract We construct level‐raising congruences between p$p$‐ordinary automorphic representations, and apply this to the problem of symmetric power functoriality for Hilbert modular forms. In particular, we prove the existence of the nth$n\text{th}$ symmetric power lift of a Hilbert modular eigenform of regular weight for each odd integer n=1,3,⋯,25$n =
Jack A. Thorne
wiley +1 more source
Reply to ``Comment on `On the inconsistency of the Bohm-Gadella theory with quantum mechanics'''
In this reply, we show that when we apply standard distribution theory to the Lippmann-Schwinger equation, the resulting spaces of test functions would comply with the Hardy axiom only if classic results of Paley and Wiener, of Gelfand and Shilov, and of
Baumgartel H +16 more
core +1 more source
Hierarchical Deep Learning for Bearing Fault Detection in BLDC Motors Using Time‐Frequency Analysis
This paper presents new hierarchical image‐based time‐frequency convolutional neural network (HTFICNN) for sorted bearing fault detection in brushless DC (BLDC) motors. The HTFICNN combines three different time‐frequency visualisation methods: scalogram, spectrogram, and Hilbert spectrum for the transformation of current and vibration signals into time‐
Ahmed K. Ali +2 more
wiley +1 more source
On the Relation between Rigging Inner Product and Master Constraint Direct Integral Decomposition
Canonical quantisation of constrained systems with first class constraints via Dirac's operator constraint method proceeds by the thory of Rigged Hilbert spaces, sometimes also called Refined Algebraic Quantisation (RAQ).
Bergmann P. +6 more
core +1 more source
Effectiveness of Drive‐By Monitoring in Short‐Span Bridges: A Real‐Scale Experimental Evaluation
This paper experimentally assesses the efficacy of the indirect Structural Health Monitoring (iSHM) framework on a full‐scale short‐span bridge of nine meters long, using an instrumented vehicle with non‐negligible mass with respect to the mass of the bridge.
Kyriaki Gkoktsi +3 more
wiley +1 more source
Bounded elements of C*-inductive locally convex spaces [PDF]
The notion of bounded element of C*-inductive locally convex spaces (or C*-inductive partial *-algebras) is introduced and discussed in two ways: the first one takes into account the inductive structure provided by certain families of C*-algebras; the ...
Bellomonte, Giorgia +2 more
core
The rolling bearing is one of the commonly used mechanical components in rotating machinery, and its health directly affects the normal operation of equipment. However, the fault signal of rolling bearing is susceptible to noise interference, which makes it difficult to extract the fault characteristics of the rolling bearing and thus affects the ...
Houxin Ji +3 more
wiley +1 more source
Orthogonal polynomials and rigged Hilbert space
By functional analytic methods the classical question is investigated if a sequence of polynomials \((P_ n)\) satisfying the fundamental recurrence \[ zP_ n(z)=f_ nP_{n-1}(z)+g_ nP_ n(z)+h_ nP_{n+1}(z) \] with coefficients \(f_ n\), \(g_ n\), \(h_ n\) constitutes an orthogonal basis of \(L^ 2_{\mu}({\mathbb{R}})\) with respect to an appropriate ...
openaire +1 more source
Recently, bearing fault diagnosis based on transfer learning (TL) has been a hot topic, which has attracted widespread interest due to its ability to adapt bearing fault datasets with different feature distributions. However, existing research suffer from low diagnosis efficiency and poor generalization capabilities.
Jiezhou Huang, Luca Pugi
wiley +1 more source

