scholarly journals Remaining Useful Lifetime (RUL): Probabilistic Predictive Model

Author(s):  
Ephraim Suhir

Reliability evaluations and assurances cannot be delayed until the device (system) is fabricated and put into  operation. Reliability of an electronic product should be  conceived at the early stages of its design; implemented during manufacturing; evaluated (considering customer requirements and the existing specifications), by  electrical, optical and mechanical measurements and testing; checked (screened) during fabrication; and, if necessary and appropriate, maintained in the field during  the product’s operation. Prognostics and health monitoring (PHM) effort can be of significant help,  especially at the last, operational stage, of the product use. Accordingly, a simple and physically meaningful probabilistic predictive model is suggested for the evaluation of the remaining useful lifetime (RUL) of an electronic device (system) after an appreciable deviation  from its normal operation conditions has been detected,  and the corresponding increase in the failure rate and the change in the configuration of the wear-out portion of the  bathtub curve has been assessed. The general concepts are illustrated by a numerical example. The model can be employed, along with other PHM forecasting and  interfering tools and means, to evaluate and to maintain  the high level of the reliability (probability of non-failure)  of a device (system) at the operation stage of its lifetime.

2018 ◽  
Vol 24 (3) ◽  
pp. 1610-1648 ◽  
Author(s):  
Kelly Blincoe ◽  
Ali Dehghan ◽  
Abdoul-Djawadou Salaou ◽  
Adam Neal ◽  
Johan Linaker ◽  
...  

2019 ◽  
Vol 7 (3A) ◽  
Author(s):  
Claubia Pereira ◽  
Jéssica P. Achilles ◽  
Fabiano Cardoso ◽  
Victor F. Castro ◽  
Maria Auxiliadora F. Veloso

A spent fuel pool of a typical Pressurized Water Reactor (PWR) was evaluated for criticality studies when it uses reprocessed fuels. PWR nuclear fuel assemblies with four types of fuels were considered: standard PWR fuel, MOX fuel, thorium-uranium fuel and reprocessed transuranic fuel spiked with thorium. The MOX and UO2 benchmark model was evaluated using SCALE 6.0 code with KENO-V transport code and then, adopted as a reference for other fuels compositions. The four fuel assemblies were submitted to irradiation at normal operation conditions. The burnup calculations were obtained using the TRITON sequence in the SCALE 6.0 code package. The fuel assemblies modeled use a benchmark 17x17 PWR fuel assembly dimensions. After irradiation, the fuels were inserted in the pool. The criticality safety limits were performed using the KENO-V transport code in the CSAS5 sequence. It was shown that mixing a quarter of reprocessed fuel withUO2 fuel in the pool, it would not need to be resized 


2021 ◽  
Author(s):  
Jing Yaun

Power efficiency degradation of machines often provides intrinsic indication of problems associated with their operation conditions. Inspired by this observation, in this thesis work, a simple yet effective power efficiency estimation base health monitoring and fault detection technique is proposed for modular and reconfigurable robot with joint torque sensor. The design of the Ryerson modular and reconfigurable robot system is first introduced, which aims to achieve modularity and compactness of the robot modules. Critical components, such as the joint motor, motor driver, harmonic drive, sensors, and joint brake, have been selected according to the requirement. Power efficiency coefficients of each joint module are obtained using sensor measurements and used directly for health monitoring and fault detection. The proposed method has been experimentally tested on the developed modular and reconfigurable robot with joint torque sensing and a distributed control system. Experimental results have demonstrated the effectiveness of the proposed method.


2016 ◽  
Vol 2016 ◽  
pp. 1-18 ◽  
Author(s):  
A. Romero ◽  
Y. Lage ◽  
S. Soua ◽  
B. Wang ◽  
T.-H. Gan

Reliable monitoring for the early fault diagnosis of gearbox faults is of great concern for the wind industry. This paper presents a novel approach for health condition monitoring (CM) and fault diagnosis in wind turbine gearboxes using vibration analysis. This methodology is based on a machine learning algorithm that generates a baseline for the identification of deviations from the normal operation conditions of the turbine and the intrinsic characteristic-scale decomposition (ICD) method for fault type recognition. Outliers picked up during the baseline stage are decomposed by the ICD method to obtain the product components which reveal the fault information. The new methodology proposed for gear and bearing defect identification was validated by laboratory and field trials, comparing well with the methods reviewed in the literature.


2021 ◽  
Author(s):  
Evangelos Skoubris ◽  
George Hloupis

<p>Among all natural disasters, river floods are becoming increasingly frequent. They present high risk and their impact can be fairly destructive and of strong economic, health, and social importance. Key tools to avoid their catastrophic results are the Early Warning Systems (EWS). An EWS usually monitors various physical quantities through a specific hardware, and produce data which after certain processing can detect and estimate the level of the risk.</p><p>In the current work we present the concept, the design, the application, and some preliminary data regarding a low cost imaging node, part of an EWS aimed for river floods. This EWS consists of various sensing nodes which are mainly equipped with water presence detectors, water level meters, water temperature sensors, along with the necessary networking capability. The novelty of this new node design is that it utilizes a VGA resolution camera which captures still images of a view of interest. The latter can be for example an implementation prone to defects in case of flood, such as a river basin level road crossing, or a bridge. The images can also provide constant monitoring of the river basin state, i.e. to detect the presence of any unwanted objects (waste or other natural & artificial bring materials). Through image processing the images can even provide some coarse data, i.e. water level measurements by utilizing vertical stripped rods within the field of view of the camera.</p><p>The ability to have a camera usually counteracts the IoT characteristics of an electronic device. Nevertheless, in this design the IoT character of the node was not constrained. The nodes have extended power autonomy (several months via Li-Ion battery, optionally solar rechargeable), present a small size, each node is network independent using GSM and LoRaWAN technology. The data usage is minimized by uploading only 2 QVGA images per day in normal operation (can be increased to a maximum of 48 VGA images per day, if required). In case of risk detection the node also supports the actuation of a local warning sign.</p>


Author(s):  
Deepali , Chadha

Digital marketing covers all the marketing strategies that are using the internet or an electronic device. It is a new way of approaching customers. According to a recent survey, India’s digital advertising industry is growing at a rate of 33.5 per cent annually. There is a gradual rise in digitization and modernization taking place in several aspects. Agriculture sector is also identified as one of the potential sectors of digitization due to large volumes traded and a high level of fragmentation present in the supply chain. In India, a significant part of the population is engaged in agriculture. Although different modern techniques and practices have been adopted in agriculture that has undoubtedly helped to improve the production over the years, but there has been a constant challenge to provide a market for the marketed surplus and getting fair prices for the same. Agricultural marketing covers the services involved in moving a farm product to the target consumer. It has undergone numerous changes over the last few years. It has beautifully evolved from barter system to organized marketplaces to today’s electronic market platform owing to several technological changes and government interventions. Institutions such as Agriculture Produce Marketing Committees (APMC), regulated market yards, and minimum support price are instances of state support that have led to a strong primary sector. Further, development of technological and financial innovations has changed the commodity transaction pattern of the stakeholders. Digitization of transactions helps in trading large volumes and also enhances transparency and associated benefits. Different initiatives have been taken by the Indian Government to digitize the agriculture sector to help the farming community such as launching of Digital India Campaign and various mobile applications that help in increasing agriculture productivity


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