Analysis of machines

Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.

21p viyamanaka 06-02-2025 1 1   Download

The study provides empirical insights into the capabilities and limitations of current Blockchain-based voting systems, emphasizing the critical role of machine learning in enhancing system analysis.

9p viyamanaka 06-02-2025 2 2   Download

The research project deals with two different types of data for two separate analysis. The first analysis deals with normalised RNA-seq breast cancer data where machine learning techniques are used to classify and identify the biomarker of cancer. Second analysis deals with raw DNA methylated leukemia samples to determine the mutations.

102p runthenight04 02-02-2023 8 4   Download

This thesis adopts a systematic and novel approach to evaluating what scholars have written via a comprehensive and technical examination of the literature (articles published between 1988 and 2016 across ten computerized databases). Major articles were systematically reviewed using a machine-based text analysis, Leximancer, revealing which themes pervade the field of scholarship based on what is written.

175p runthenight04 02-02-2023 10 3   Download

This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images.

75p runordie3 06-07-2022 6 2   Download

Induction machines are widely used in many industries due to their robustness, ruggedness and easy maintenance feature. Due to the addition of power electronics devices and the complexity involved in the design of induction machines, their study and analysis can be very difficult.

13p lucastanguyen 01-06-2020 21 3   Download

In this paper, a method for severity fault diagnosis of ball bearings is presented. The method is based on wavelet packet transform (WPT), statistical parameters, principal component analysis (PCA) and support vector machine (SVM). The key to bearing faults diagnosis is features extraction.

10p tohitohi 19-05-2020 25 1   Download

The present study introduces a set of machine learning-based models to predict the heating and cooling loads in buildings. This includes back-propagation artificial neural network, generalized regression neural network, radial basis neural network, radial kernel support vector machines and ANOVA kernel support vector machines.

6p tohitohi 22-05-2020 21 1   Download

(BQ) Electrical discharge machining (EDM) is a widespread process which works very effectively in machining of difficult-to-cut materials and alloys in die and aerospace industries with high dimensional accuracies. However, this capability could be deteriorated due to electrode wear leading to decrease of process productivity. In this study, the effect of machining parameters of EDM process including on-time, current, voltage, the engaging time between workpiece and electrode, and pre-EDM roughing on electrode wear were experimentally investigated.

4p xuanphuongdhts 27-03-2017 51 2   Download

(BQ) In this paper, working current, working voltage, oil pressure, spark gap Pulse On Time and Pulse Off Time on Material Removal Rate (MRR) and Surface Finish (Ra) has been studied. Empirical models for MRR and Ra have been developed by conducting a designed experiment based on the Grey Relational Analysis. Genetic Algorithm (GA) based multi-objective optimization for maximization of MRR and minimization of Ra has been done by using the developed empirical models. Optimization results have been used for identifying the machining conditions.

10p xuanphuongdhts 27-03-2017 44 2   Download

(BQ) From the experimental results, it has been found that the electrical conductivity of the tool electrode has the most influencing nature on the machining characteristics in EDM process. The optimal combination of the input process parameters has been obtained using Taguchi-grey relational analysis.

8p xuanphuongdhts 27-03-2017 70 3   Download

(BQ) This study was made only for the finish stages and has been carried out on the influence of five design factors: intensity supplied by the generator of the EDM machine (I), pulse time (ti), duty cycle (η), open-circuit voltage (U) and dielectric flushing pressure (P), over the two previously mentioned response variables. This has been done by means of the technique of design of experiments (DOE), which allows us to carry out the above-mentioned analysis performing a relatively small number of experiments.

8p xuanphuongdhts 27-03-2017 57 2   Download

(BQ) The paper describes the application of the fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed electrical discharge machining (EDM) process. A fuzzy logic system is used to investigate relationships between the machining precision and accuracy for determining the efficiency of each parameter design of the Taguchi dynamic experiments.

10p xuanphuongdhts 27-03-2017 57 3   Download

(BQ) Surface integrity and dimensional accuracy remain critical concern in Electrical Discharge Machining (EDM). The current research work aims at investigating the influence of various EDM process parameters like pulse current (Ip), pulse-on time (Ton), tool work time (Tw) and tool lift time (Tup) on various aspects of surface integrity like white layer thickness (WLT), surface crack density (SCD) and surface roughness (SR). The dimensional accuracy, characterized by over cut (OC), has also been studied in the similar way.

13p xuanphuongdhts 27-03-2017 51 2   Download

(BQ) The adequate selection of manufacturing conditions is one of the most important aspects to take into consideration in the die-sinking electrical discharge machining (EDM) of conductive ceramics, as these conditions are the ones that are to determine such important characteristics as: surface roughness, electrode wear (EW) and material removal rate, among others. In this work, a study was carried out on the influence of the factors of intensity (I), pulse time (ti) and duty cycle (η) over the listed technological characteristics.

7p xuanphuongdhts 27-03-2017 41 2   Download

(BQ) In the present study an analysis has been done to evaluate the electrode wear along the cross-section of an electrode compared to the same along its length during EDM of aluminum and mild steel using copper and brass electrodes.

6p xuanphuongdhts 27-03-2017 49 2   Download

(BQ) Electrical Discharge Machining (EDM) is a non-traditional machining process which has the ability to machine hard, difficult to machine materials and the parts with complex internal shapes by using precisely controlled sparks that occurs between an electrode and a work piece in the presence of a dielectric fluid.

9p xuanphuongdhts 27-03-2017 71 3   Download

To help you Specialized Mechanic machine more references in the process of learning and study. Invite you to consult the lecture content "Hyperform training: One step analysis". Each of your content and references for additional lectures will serve the needs of learning and research.

7p dinhchung08 04-11-2015 44 4   Download

This paper introduces a new analytical method for performing the output torque calculations of an interior permanent magnet synchronous motor (IPMSM) including both permanent magnet and reluctance torque components.

5p dunghjt 09-11-2013 56 4   Download

To establish an infection, Yersinia pseudotuberculosis utilizes a plasmid-encoded type III secretion machine that permits the translocation of several anti-host factors into the cytosol of target eukaryotic cells. Secreted YopD is essential for this process. Pre-secretory stabilization of YopD is mediated by an interaction with its cognate chaperone, LcrH. YopD possesses LcrH binding domains located in the N-terminus and in a predicted amphipathic domain located near the C-terminus. This latter domain is also critical for Yersinia virulence. ...

10p research12 01-06-2013 51 3   Download