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Structural and system reliability
\"Based on material taught at the University of California, Berkeley, this textbook offers a modern, rigorous and comprehensive treatment of the methods of structural and system reliability analysis. It covers the first- and second-order reliability methods for components and systems, simulation methods, time- and space-variant reliability, and Bayesian parameter estimation and reliability updating. It also presents more advanced, state-of-the-art topics such as finite element reliability methods, stochastic structural dynamics, reliability-based optimal design, and Bayesian networks. A wealth of well-designed examples connect theory with practice, with simple examples demonstrating mathematical concepts and larger examples demonstrating their applications. End-of-chapter homework problems are included throughout\"-- Provided by publisher.
Book
Drift into Failure
This book explores complexity theory and systems thinking to better understand how complex systems drift into failure. It studies sensitive dependence on initial conditions, unruly technology, tipping points, diversity - and finds that failure emerges opportunistically, non-randomly, from the very webs of relationships that breed success and that are supposed to protect organizations from disaster. It develops a vocabulary that allows us to harness complexity and find new ways of managing drift.
eBook
Mobile Based Gas Leakage Monitoring Using IOT
The mechanical gas spills cause mishaps and posture dangers to the earth furthermore, human life. In this manner, it is basic to identify the gas spills in time. As a rule, the strange focus signals are characterized by fixed fixation esteem, for example, 25% of the lower unstable breaking point (LEL). The component of each ordinary fragment is gotten by ascertaining the relationship coefficients between ACFs. The proposed technique has been executed in a field by constructing a remote sensor arrange (WSN). It is affirmed that the framework recognition rate comes to the highest value as 96.7% and the normal location time delay is under the 30s on the reason of low bogus caution rate. In existing framework, LPG Spillage identifier with SMS sign utilizing GSM modem venture distinguishes the LPG gas spillage. In the event that the LPG gas level crosses the edge level at that point it sends SMS to the client utilizing the GSM modem. Additionally, the LPG identifier framework turns on the ringer to demonstrate the individual close by to the framework. In the proposed framework, we actualized a framework which gives call alert along with SMS, in the wake of recognizing Gas spillage inside 30 seconds. The discovery unit is actualized utilizing MQ 2 sensor and GSM Module. The current flexibly will be naturally shutdown before the call caution to the particular proprietor. In this technique, we beat the hindrances of the current framework, which depends on SMS alert.
Journal Article
Intelligent Driving detection with Health Monitoring and Accident detection System using IOT
Accidents caused because of intoxicated drive are expanding massively in this advanced world. To forestall mishaps adequately the proposed framework can be actualized. In this structure, we screen the level of alcohol usage and heart beat rate. In the event that the chauffeur is related to intoxicated journey, at that point the transport medium start framework will break off which creates the inebriated chauffeur incapable to locomote the transport medium bringing about mishap avoidance. In addition to this, if there are any atypical alternates in heart beat rate, at that point the momentum status of the chauffeur is sent to their bosom companions and relatives using iot. Since pragmatic execution in transport medium is past the extent of this task, we are actualizing the proposed framework with a dc appliance.
Journal Article
Individual Health and Safety Monitoring of Workers in Deep Underground Mines Using IOT
Lethal mishaps related with underground coal mineshafts require the usage of elevated level gas observing and excavators limitation ways to deal with advance underground safety and wellbeing.As per the International Labour Organization (ILO), digging represents 1% of worldwide work, however is liable for 8% of deadly mishaps. This paper presents a strategy for investigating and guaranteeing wellbeing of the labourers in mines. It is actualized by utilizing IOT (Internet Of Things) to set up remote sensor organize. Sensors are utilized for estimating air quality boundaries, for example, temperature, CH4 (Methane), CO2 (Carbon di-oxide) and CO (carbonmonoxide).This paper is principally founded on the advancement of an open source, adaptable and financially savvy stage for successfully advancing underground coal mineshaft wellbeing. This is additionally useful for tackling the issues of openness, usefulness, interoperability and adaptability related with wellbeing in coal mineshafts.
Journal Article
Identification and Prevention of Accidents Using Smart Helmet and GPS System
In each one hour 17 people are dying in India because of street mishaps. According to the administration report practically 1.5 lacks people are passed on street mishaps in 2017.Most of mishaps is bikes in view of person not worn helmet and consuming alcohol. So in this proposed framework if the rider isn't worn helmet or consumes any alcoholic substance is distinguished, the bike will not start. In addition, it has a smart feature to identifying accidents and sends SMS to rescue vehicle, police headquarters and family members with location by using GSM and GPS module, thus aiding ambulance to reach the correct location. We want to integrate all the sensors inside the helmet, which will send the all the data to the receiver connected in motorcycle wirelessly. This brilliant head protector framework comprises of two modules, one is head protector(transmitter) and another one is bike (receiver). Alcohol sensor, IR sensor and ultrasonic sensor are associated inside the helmet unit and vibration sensor, GPS and GSM are connected in vehicle unit. The transmitting and receiving unit communicate wirelessly using RF transmitter and receiver, using arduino.
Journal Article
Design and fabrication of combined Pedal for brake and accelerator
The paper deals with the development and working of Accelerator and Brake worked by one pedal, which might be a strategy for decreasing street mishaps. The fundamental target of this advancement is to wipe out the administrator's danger of squeezing the wrong pedal at the season of crisis and in addition decrease in the driver's response time to change from acceleration pedal to brakes or the other way around. This new system is composed such that it can be utilized as a part of a car vehicle. The system utilized for consolidated brake and acceleration is straightforward and can be received helpfully. Right now, vehicles are outfitted with autonomous pedal controls for working the acceleration and brake, these pedals being worked by right foot, and since the two capacities are contradicted and contrary it is important to abandon one pedal free keeping in mind the end goal to work the other. It can in this way be gathered that a few drivers experience issues in expelling their foot from the acceleration pedal also, exchanging it to the brake pedal rapidly in crisis circumstances. To take care of this issue, another brake pedal also, acceleration framework is planned.
Journal Article
Bed Position Classification by a Neural Network and Bayesian Network Using Noninvasive Sensors for Fall Prevention
Falls from a bed often occur when an elderly patient attempts to get out of bed or comes close to the edge of a bed. These mishaps have a high possibility of serious injuries, such as bruises, soreness, and bone fractures. Moreover, a lack of repositioning the body of a bedridden elderly person may cause bedsores. To avoid such a risk, a continuous activity monitoring system is needed for taking care of the elderly. In this study, we propose a bed position classification method based on the sensor signals collected from only four sensors that are embedded in a panel (composed of two piezoelectric sensors and two pressure sensors). It is installed under the mattress on the bed. The bed positions considered are classified into five different classes, i.e., off-bed, sitting, lying center, lying left, and lying right. To collect the training dataset, three elderly patients were asked for consent to participate in the experiment. In our approach, a neural network combined with a Bayesian network is adopted to classify the bed positions and put a constraint on the possible sequences of the bed positions. The results from both the neural network and Bayesian network are combined by the weighted arithmetic mean. The experimental results have a maximum accuracy of position classification of 97.06% when the proportion of coefficients for the neural network and the Bayesian network is 0.3 and 0.7, respectively.
Journal Article
Locking and Unlocking of Vehicles parked at No-parking zone through traffic police server using IoT
As the inhabitants upturns day by day the amount of automobiles are also getting amplified. This tips to traffic congestion as well as some mishaps. When an individual parks the automobile on no-parking zone, the road becomes constricted then causes traffic congestion in that specific place. In this eventful world individuals persistently park their vehicles at no-parking area. Massive amount of transportation forces are directed to find the unlawfully parked automobiles then punish the illegally parked owner, yet it is an ineffective technique to get rid of unlawful parking. In this suggested method, vehicle which are parked at no-parking zone will be inaccessible and unlocked through-traffic police server using an IOT device.
Journal Article
Methods for Reliability Improvement and Risk Reduction
Reliability is one of the most important attributes for the products and processes of any company or organization. This important work provides a powerful framework of domain-independent reliability improvement and risk reducing methods which can greatly lower risk in any area of human activity. It reviews existing methods for risk reduction that can be classified as domain-independent and introduces the following new domain-independent reliability improvement and risk reduction methods:
* Separation
* Stochastic separation
* Introducing deliberate weaknesses
* Segmentation
* Self-reinforcement
* Inversion
* Reducing the rate of accumulation of damage
* Permutation
* Substitution
* Limiting the space and time exposure
* Comparative reliability models
The domain-independent methods for reliability improvement and risk reduction do not depend on the availability of past failure data, domain-specific expertise or knowledge of the failure mechanisms underlying the failure modes. Through numerous examples and case studies, this invaluable guide shows that many of the new domain-independent methods improve reliability at no extra cost or at a low cost.
Using the proven methods in this book, any company and organisation can greatly enhance the reliability of its products and operations.
eBook