scholarly journals Development of Asynchronous Motor Bearing Fault Diagnosis Method using TDA and FFNN

2019 ◽  
Vol 8 (10) ◽  
pp. 2622-2625
Keyword(s):  
Early Stage ◽  
Asynchronous Motor ◽  
Time Domain Analysis ◽  
Process Industry ◽  
Feed Forward Neural Network ◽  
Bearing Fault Diagnosis ◽  
Asynchronous Motors ◽  
Diagnosis Method ◽  
Detection And Diagnosis ◽  
The Cost

Asynchronous motors (AM) are life line of any process industry. Malfunctioning of AM at any stage of process leads the cost of finish product and decrease the efficiency of plant. Hence detection and diagnosis of AM failure at early stage is essential for timely maintenance and enhance the overall efficiency of the plant. The work present in this paper focuses on the bearing faults of AM. For this purpose experimental setup is developed in laboratory and results are based on experimental study carried out in laboratory by analysing AM generated vibration signals using time domain analysis (TDA) and feed forward neural network (FFNN).

Investigation and Diagnosis of Fatigue Cracks of Rib-to-Deck Welded Joints in Orthotropic Decks by the Phased Array Ultrasonic Scanner

2019 ◽  
Author(s):  
Masafumi Hattori ◽  
Koji Osada ◽  
Shoji Nojima ◽  
Hideyuki Tatematsu
Keyword(s):  
Welded Joints ◽  
Phased Array ◽  
Early Stage ◽  
Fatigue Cracks ◽  
Transportation Safety ◽  
Investigation Area ◽  
Diagnosis Method ◽  
Ultrasonic Scanner ◽  
Pavement Damage ◽  
The Cost

<p>Over the last decade, fatigue cracks have been observed at the rib-to-deck welded joints in many orthotropic decks in Japan. Considering the fatigue cracks can cause pavement damage and thus compromise transportation safety, it is necessary to detect and repair it at the early stage of its development. But the cracks occur from the weld route, it cannot be detected in early stage by visual check. Therefore, the phased array ultrasonic scanner (PAUS) has been developed as the method which can detect and measure the cracks with small size. And, it can simultaneously investigates the deck propagation type cracks and the weld bead propagation type cracks.</p><p>In this study, we propose a diagnosis method which considered the relation with selected countermeasures based on technological knowledge. And we propose an investigation area selecting method based on investigation speed of the PAUS which is confirmed by trial on the real bridge. In addition, the cost advantage by using the PAUS is estimated.</p>

scholarly journals Diabetes Prediction System using Classification Techniques & Healthcare Consultation using Artificial Intelligence

2021 ◽  
Vol 7 (2) ◽  
pp. 194-198
Author(s):  
Jeyarani Periyasamy ◽  
Muqaddas Rahim ◽  
Kalaimagal Ramakrishnan
Keyword(s):  
Real Time ◽  
Early Stage ◽  
Functional System ◽  
Online Consultation ◽  
Life Threatening ◽  
Knowledge Discovery In Database ◽  
Diabetes Prediction ◽  
Detection And Diagnosis ◽  
The Cost ◽  
Late Detection

Diabetes is a global diseases that has affected over 388 million people and cause many deaths and serious condition. This is due to the late detection and diagnosis of the disease as it causes a delay in treatment and becomes harder to prevent it from worsening. It is important to detect the disease at an early stage and start early treatment to prevent it from becoming life-threatening. The aim of this project is to produce a system that can accurately predict the disease in real-time for the user and provide online consultation by doctors and chatbots which will help prevent major illnesses in future. The project targets anyone who may want to check whether they have the disease or not. It also serves as a platform for doctors to provide online consultation to their clients. The project will follow the Knowledge Discovery in Database approach. Implementing the system will reduce time consumption, produce real-time results cost-freely & early detection of diabetes. The project is expected to produce a functional system which accurately predicts diabetes based on the data entered in real-time to minimize visits to clinics and cut the cost of the test while providing online health consultation.

Insights into Transdermal Drug Delivery: Approaches for Redressal of a Burgeoning Issue of Osteoporosis

2020 ◽  
Vol 20 (10) ◽  
pp. 1682-1695
Author(s):  
Foziyah Zakir ◽  
Kanchan Kohli ◽  
Farhan J. Ahmad ◽  
Zeenat Iqbal ◽  
Adil Ahmad
Keyword(s):  
Drug Delivery ◽  
Transdermal Delivery ◽  
Oral Delivery ◽  
Calcium Absorption ◽  
Early Stage ◽  
Osteoporotic Fractures ◽  
The Novel ◽  
Systemic Delivery ◽  
Primary Focus ◽  
The Cost

Osteoporosis is a progressive bone disease that remains unnoticed until a fracture occurs. It is more predominant in the older age population, particularly in females due to reduced estrogen levels and ultimately limited calcium absorption. The cost burden of treating osteoporotic fractures is too high, therefore, primary focus should be treatment at an early stage. Most of the marketed drugs are available as oral delivery dosage forms. The complications, as well as patient non-compliance, limit the use of oral therapy for prolonged drug delivery. Transdermal delivery systems seem to be a promising approach for the delivery of anti-osteoporotic active moieties. One of the confronting barriers is the passage of drugs through the SC layers followed by penetration to deeper dermal layers. The review focuses on how anti-osteoporotic drugs can be molded through different approaches so that they can be exploited for the skin to systemic delivery. Insights into the various challenges in transdermal delivery and how the novel delivery system can be used to overcome these have also been detailed.

scholarly journals Rolling bearing fault diagnosis method based on VMD and LSSVM

2021 ◽  
Vol 1792 (1) ◽  
pp. 012035
Author(s):  
Xingtong Zhu ◽  
Zhiling Huang ◽  
Jinfeng Chen ◽  
Junhao Lu
Keyword(s):  
Fault Diagnosis ◽  
Rolling Bearing ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Diagnosis Method

scholarly journals Methodology for the Concept Design of Locally Reinforced Composites

2021 ◽  
Vol 11 (16) ◽  
pp. 7246
Author(s):  
Julius Moritz Berges ◽  
Georg Jacobs ◽  
Sebastian Stein ◽  
Jonathan Sprehe
Keyword(s):  
Cost Estimation ◽  
Structural Design ◽  
Early Stage ◽  
Parameter Study ◽  
Great Effort ◽  
Concept Design ◽  
Cost Weight ◽  
Reinforced Plastics ◽  
Fiber Reinforced Plastics ◽  
The Cost

Locally load-optimized fiber-based composites, the so-called tailored textiles (TT), offer the potential to reduce weight and cost compared to conventional fiber-reinforced plastics (FRP). However, the design of TT has a higher complexity compared to FRP. Current approaches, focusing on solving this complexity for multiple objectives (cost, weight, stiffness), require great effort and calculation time, which makes them unsuitable for serial applications. Therefore, in this paper, an approach for the efficient creation of simplified TT concept designs is presented. By combining simplified models for structural design and cost estimation, the most promising concepts, regarding the cost, weight, and stiffness of TT parts, can be identified. By performing a parameter study, the cost, weight, and stiffness optima of a sample part compared to a conventional FRP component can be determined. The cost and weight were reduced by 30% for the same stiffness. Applying this approach at an early stage of product development reduces the initial complexity of the subsequent detailed engineering design, e.g., by applying methods from the state of the art.

scholarly journals Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1814
Author(s):  
Libo Zhang ◽  
Qian Du ◽  
Dequn Zhou
Keyword(s):  
Power Generation ◽  
Early Stage ◽  
Electricity Price ◽  
Grid Parity ◽  
Industry Environment ◽  
External Conditions ◽  
Generation Costs ◽  
Time Price ◽  
The Cost ◽  
Installed Capacity

The cost of centralized photovoltaic (CPV) power generation has been decreasing rapidly in China. However, the achievement of grid parity is full of uncertainties due to changes in policies and the industry environment. In order to explore the time, price, and external conditions in which grid parity can be achieved, we create the improved grey GM (1, 1) model to estimate the installed capacity over the next 10 years, and apply a learning curve to predict the cost of CPV generation. In the analysis of grid parity, we compare the benchmark price of coal power and the price under the market-oriented mechanism with CPV. The results show that China’s CPV industry will enter the early stage of maturity from 2020 onwards; with the help of benchmark investment, the grid parity of CPV may be achieved in 2022 at the earliest and 2025 at the latest. After 2025, the photovoltaic electricity price will be generally lower than the coal electricity price under marketization. By 2030, CPV power generation costs will reach US $0.05/kWh, the accumulative installed capacity will exceed 370 GW, and the uncertainties will lead to a cumulative installed gap of nearly 100 GW.

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