Detection of bearing damage by statistic vibration analysis [PDF]
, 2005 The condition of bearings, which are essential components in mechanisms, is crucial to safety. The analysis of the bearing vibration signal, which is always contaminated by certain types of noise, is a very important standard for mechanical condition ...
Adam, Jürgen +9 more
core +2 more sources
A Fault Diagnosis Approach for Rolling Bearing Based on Convolutional Neural Network and Nuisance Attribute Projection under Various Speed Conditions [PDF]
Applied Sciences, 2019 Intelligent fault diagnosis is a promising tool for processing mechanical big data. It can quickly and efficiently process the collected signals and provide accurate diagnosis results. However, rotating machinery often works under various speed conditions, which makes it difficult to extract fault features.
Huijie Ma, Shunming Li, Zenghui An
openaire +2 more sources
Application of Bayesian Family Classifiers for Cutting Tool Inserts Health Monitoring on CNC Milling
International Journal of Prognostics and Health Management, 2020 The customized usage of tool inserts plays an imperative role in the economics of machining operations. Eventually, any in-process defects in the cutting tool lead to deterioration of complete machining activity.
Abhishek D. Patange, R Jegadeeshwaran
doaj +1 more source
IEEE Access, 2021 It is important to ensure that a grounding system is designed with a low magnitude of earth resistance, so the protection system can divert the large fault current to earth effectively.
Navinesshani Permal +3 more
doaj +1 more source
In-Service Power Transformer Life Time Prospects: Review and Prospects
Journal of Electrical and Computer Engineering, 2022 Power transformers are essential assets in power system networks that must be meticulously monitored throughout their operational life cycle. Given that a substantial percentage of in-service power transformers around the world have reached the end of ...
Edwell. T. Mharakurwa
doaj +1 more source
Unmanned Driving Technology in Coal Mine Based on Semantic Information Method
IEEE Access, 2023 Aiming at the transportation scheduling problem of unmanned trucks in open-pit mines, an optimization model for transportation scheduling of unmanned trucks in open-pit mines is established, taking the minimum sum of fuel cost, fixed start-up cost, fault
Longtian Fu +3 more
doaj +1 more source
A Multi-Objective Planning Framework for Optimal Integration of Distributed Generations [PDF]
, 2013 This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions,
Howe, Joe +2 more
core +1 more source
Data-based fault detection in chemical processes: Managing records with operator intervention and uncertain labels [PDF]
, 2016 Developing data-driven fault detection systems for chemical plants requires managing uncertain data labels and dynamic attributes due to operator-process interactions.
Askarian, Mahdieh +3 more
core +1 more source
Rough set theory applied to pattern recognition of partial discharge in noise affected cable data [PDF]
, 2016 This paper presents an effective, Rough Set (RS) based, pattern recognition method for rejecting interference signals and recognising Partial Discharge (PD) signals from different sources.
Hepburn, Donald M. +8 more
core +4 more sources
Outlier Detection Techniques For Wireless Sensor Networks: A Survey [PDF]
, 2008 In the field of wireless sensor networks, measurements that significantly deviate from the normal pattern of sensed data are considered as outliers. The potential sources of outliers include noise and errors, events, and malicious attacks on the network.
Havinga, P.J.M. +2 more
core +8 more sources