1,720,980 research outputs found
Studying the Effect of Temperature on the Tensile Strength of an Intravascular Catheter Using a Degradation Model
No full textThe accelerated aging process is incorporated into the design and development of intravascular catheters to assess their reliability assuring that this medical device is safe and effective for the intended use during their shelf life. The accelerated aging process is based on a common approach that assumes that the rate of aging increases by a factor of , where is the temperature increment. However, with the life data obtained from this empirical method is difficult to do inferences about reliability. This paper presents an accelerated destructive degradation test using thermal stress to obtain degradation data directly relates reliability to critical performance characteristic, which is the tensile strength in the intravascular catheter tip considered as a critical concern in patients’ safety. The degradation data model is given by a stochastic Wiener process with the drift parameter being represented as Arrhenius function. The parameters of the Wiener process and Arrhenius function are estimated using maximum likelihood; these parameters are used to estimate the first-passage time (time to failure) distribution when the intravascular catheters degradation path reaches a tensile strength critical value in each thermal stress level. Based on this, a complete product reliability assessment is performed and presented
The alpha power Weibull transformation distribution applied to describe the behavior of electronic devices under voltage stress profile
No full textThis paper presents a life-stress methodology that models the failure rate
in the form of a bathtub curve. The model consists of the Alpha Power
Transformation (APT), which adds an extra parameter to the probability
distributions to achieve better flexibility in the representation in the data
analysis. To build the life–stress relationship, the APT is combined with the
Weibull Distribution (WD) and the Inverse Power Law (IPL) as a stress
model to relate the data from the accelerated life tests (ALT), thus presenting the APTW-IPL. Statistical properties of the APTW-IPL are analyzed
and discussed. For the parameter estimation of APTW-IPL, the Maximum
Likelihood Estimator was used. On the other hand, to test the efficacy of
the APTW-IPL, the model is compared with other methodologies that
describe the behavior of the bathtub curve in two case studies related
to determining the behavior of electronic devices that were subjected to
ALT. The results show that the APTW-IPL can be a good option for
reliability analysis in electronic devices. It represents the failure times in
the form of a bathtub curve, the value of MTTF, and fitting the distribution
to the case study data
An Additive Chen Distribution with Applications to Lifetime Data
No full textThis paper presents a lifetime model with properties representing increasing, decreasing,
and bathtub curve shapes for failure rates. The proposed model was built based on the additive
methodology, for which the Chen distribution was used as the base model, thus introducing the
Additive Chen Distribution (AddC). An essential feature of AddC is this model’s excellent flexibility in
describing failure rates with non-monotonic behavior or with the shape of a bathtub curve concerning
other current models. Statistical properties of AddC are presented and analyzed for different fields of
study. For the estimation of AddC’s parameters, the maximum likelihood method (MLE) was used.
Three case studies in different fields of application are presented, from which AddC is compared
against other probability distributions with similar properties. The results show that AddC offers
competitive results
Emotional Classification Method (ECW): A Methodology for Measuring Emotional Sustainability in a Work Environment Utilizing Artificial Intelligence
No full textSustainable development generally includes three key dimensions: environmental, economic, and social. However, both in practice and in theory, the social dimension often receives less attention than the other two, even though it is just as important. This lack of focus can be seen in the lack of tools available to measure problems within the social dimension, such as emotional sustainability within the work environment. The objective of this research is to propose a methodology for emotional classification (ECM) using advanced systems such as artificial intelligence to serve as a tool for measuring emotional sustainability in a work environment. This methodology was applied in an institution whose objective was to accredit and comply with a Mexican standard (NOM-035) regarding stress and anxiety of labor personnel. As a result of the research, we have a method for emotional diagnosis that functions as a tool for the quantification and evaluation of emotions and thus contributes to the implementation of social sustainability. Finally, a proposal for improvements and factors to be taken into account in order to reproduce the ECW method is offered
The Technological Role of Steepest Ascent Optimization in Industry 4.0 Modeling
No full textIndustry 4.0 has taken extraordinary importance in massive production strategies. This new revolution represents automation in factories and interconnectivity among devices and procedures. In a technological framework, when managing large amounts of data combined with in-depth statistical analysis as a convenient tool for decision-making, Industry 4.0 modeling constitutes an indispensable support. This chapter has the objective to present, in a comprehensive way, the role of statistical analysis in a steepest ascent innovative strategy for the Industry 4.0 modeling based on released information from a production system. The method analyzes the route that data follows from a production system to a computer software for statistical analysis. This includes empirical techniques such as designed experimentation. After this procedure, human intervention exists only for consecutive analysis and decision-making purposes. Results and conclusions are disclosed at the end of this document
Characterization and Dataset Compilation of Torque–Angle Curve Behavior for M2/M3 Screws
No full textThis research explores the torque–angle behavior of M2/M3 screws in automotive applications, focusing on ensuring component reliability and manufacturing precision within the recommended assembly specification limits. M2/M3 screws, often used in tight spaces, are susceptible to issues like stripped threads and inconsistent torque, which can compromise safety and performance. The study’s primary objective is to develop a comprehensive dataset of torque–angle measurements for these screws, facilitating the analysis of key parameters such as torque-to-seat, torque-to-fail, and process windows. By applying Gaussian curve fitting and Gaussian process regression, the research models and simulates torque behavior to understand torque dynamics in small fasteners and remarks on the potential of statistical methods in torque analysis, offering insights for improving manufacturing practices. As a result, it can be concluded that the proposed stochastics methodologies offer the benefit of fail-to-seat ratio improvement, allow inference, reduce the sample size needed in incoming test studies, and minimize the number of destructive test samples needed
The additive Perks distribution and its applications in reliability analysis
No full texthttps://www.tandfonline.com/doi/full/10.1080/16843703.2022.214888
A reliability analysis for electronic devices under an extension of exponentiated perks distribution
No full textThis paper presents a reliability analysis for electronic devices (ED) with bathtub
curve-shaped failure times. An extension of the exponentiated perks distribution
(EPD) is proposed for the analysis. The extension of this new distribution
is based on the Alpha Power Transformation, so the Alpha Exponentiated Perks
Distribution (AEXP) is introduced. The AEXP has three shape parameters and
one scale parameter, allowing greater flexibility to represent failure rates in an
increasing, decreasing, or bathtub curve form. Some useful properties in the reliability
engineering context are presented. AEXP parameters were estimated via
the Maximum Likelihood Method. Finally, two case studies focused on ED are
used to compare the proposed distribution and other distributions with similar
failure rate representation properties. The obtained results show that the
AEXP better describes the behavior of ED than the distributions considered in
the analysis
Control de posición angular para panel solar basado en redes neuronales y control inteligente
Get PDFEn ciudad Juárez Chihuahua México se presenta más de 300 días soleados al año, lo que conlleva que la fuente de energía solar sea una forma viable de transformación de energía. Por lo que se presenta una propuesta de controlador inteligente para la posición angular de un panel solar, en donde la señal de referencia del controlador se obtiene de la salida de una red neuronal multicapa previamente entrenada con datos de ubicación del sol. Los datos de entrenamiento fueron obtenidos de la base de datos del INEGI en México y de otros repositorios de acceso abierto. Además, se muestra el diseño mecánico y su integración de las piezas que integral el panel solar. El controlador en lazo cerrado diseñado hace uso de un PID con la intención de volver robusta ante perturbaciones externas al sistema. Lo que permite minimizar el efecto de variables dinámicas no modeladas que podrían afectar el desempeño del sistema del panel-actuador. Los resultados experimentales muestran una respuesta sub amortiguada de la salida controlada en esta transitorio y en error cero en estado estacionario. La propuesta de diseño demuestra un seguimiento de la posición de referencia solar adecuado, la cual puede ser implementada a bajo costo
Implementación de diagramas de tortuga para el cumplimiento de la norma ISO 9001:2015 / TL 9000:2016
Get PDFLa norma ISO 9001:2015 o TL 9000:2016 busca en su apartado 4.4.1 desarrollar una parte del contexto organizacional, por lo que las empresas deben desarrollar una metodología adecuada para el cumplimiento de estas, el objetivo es entonces abarcar la mayor parte de los incisos de esta cláusula mediante el desarrollo de una metodología adecuada para identificar las entradas, salidas, métodos, recursos, riesgos y oportunidades de los procesos que intervienen. El diagrama de tortuga es una herramienta de la ingeniería capaz de adaptarse a los requerimientos que la norma da como pauta, al implementarse de manera correcta es capaz de cumplir con varios de los aspectos de la cláusula antes mencionada. El resultado a través de esto fue el registro de los diagramas de los diferentes procesos que componen la empresa en la que se implementó para después ser documentado y controlado. De esta forma se estandariza y adapta a los diferentes procesos y cumplimiento adecuado
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