In cooperation with the major propulsion engine manufacturers, the authors are developing and demonstrating a unique very high frequency (VHF) vibration monitoring system that integrates various vibroacoustic data with intelligent feature extraction and fault isolation algorithms to effectively assess engine gearbox and generator health. The system is capable of reporting on the early detection...

Centrifugal pumps are the most vital part of any process industry. A fault in centrifugal pump can affect imperative industrial processes. To ensure reliable operation pump, this paper proposes a novel automated health state diagnosis framework for that combines signal to time-frequency imaging technique and an Adaptive Deep Convolution Neural Network model (ADCNN). First, vibration signals cor...

The characterisation of transportation hazards is paramount for protective packaging validation. It is used to estimate and simulate the loads and stresses occurring during transport which are essential to optimise packaging and ensure that products will resist the transportation environment with the minimum amount of protective material. Characterising road transportation vibrations is rather ...

Background: A pressure ulcer is a complication related to the need for the care and treatment of primarily disabled and elderly people. With the decrease of the blood flow caused by the pressure loaded, ulcers are formed and the tissue will be wasted with the passage of time.Objective the aim of this study was to construct blood flow monitoring system on the heel tissue which was under external...

http://dx.doi.org/10.1016/j.anbehav.2014.09.030 0003-3472/© 2014 The Association for the Study of A Cooperative activities in advanced insect societies are organized by complex systems of communication signals that may have evolved from interactions among nestmates in primitively social ancestors. Primitively social colonies are organized by dominance and aggression, which suggests that some co...

A spatially dense wireless sensor network was designed, developed and installed on a long-span suspension bridge for a 3-month deployment to record ambient acceleration. A total 174 sets of data 1.3 GB were collected from 64 sensor nodes on the main span and south tower of the Golden Gate Bridge. Analysis of the vibration data using power spectral densities and peak picking provide approximate ...

When operating under harsh condition (e.g., time-varying speed and load, large shocks), the vibration signals of rolling element bearings are always manifested as low signal noise ratio, non-stationary statistical parameters, which cause difficulties for current diagnostic methods. As such, an IMF-based adaptive envelope order analysis (IMF-AEOA) is proposed for bearing fault detection under su...

Process monitoring using indirect methods relies on the usage of sensors. Using sensors to acquire vital process related information also presents itself with the problem of big data management and analysis. Due to uncertainty in the frequency of events occurring, a higher sampling rate is often used in real-time monitoring applications to increase the chances of capturing and understanding all...

Heterodyne holography is an extremely versatile and powerful holographic technique that is able to fully control the amplitude, phase and frequency of both the illumination and holographic reference beams. Applied to vibration analysis, this technique is able to detect the signal of the carrier or the one of any vibration sideband. A complete analysis of the vibration signal can thus be made, a...

To solve the problem of low signal-to-noise ratio and fault features can only be extracted from a single scale traditional convolutional neural network (CNN) in vibration-based bearing diagnosis, this paper proposes new multi-scale residual attention multi-channel (MSCNet), which effectively reduce noise fully extract meaningful different scales signal. The proposed method combines filtering me...