Chapter 3: Human Factors Testing to Aid in the Selection of Intravenous Infusion Pumps: Usability Testing and Failure Modes and Effects Analysis

Non-destructive inspection (NDI) is one of the key elements in ensuring quality of engineering systems and their safe use. This inspection is a very complex task, during which the inspectors have to rely on their sensory, perceptual, cognitive, and motor skills. It requires high vigilance once it is often carried out on large components, over a long period of time, and in hostile environments and restriction of workplace. A successful NDI requires careful planning, choice of appropriate NDI methods and inspection procedures, as well as qualified and trained inspection personnel. A failure of NDI to detect critical defects in safety-related components of nuclear power plants, for instance, may lead to catastrophic consequences for workers, public and environment. Therefore, ensuring that NDI is reliable and capable of detecting all critical defects is of utmost importance. Despite increased use of automation in NDI, human inspectors, and thus human factors, still play an important role in NDI reliability. Human reliability is the probability of humans conducting specific tasks with satisfactory performance. Many techniques are suitable for modeling and analyzing human reliability in NDI of nuclear power plant components, such as FMEA (Failure Modes and Effects Analysis) and THERP (Technique for Human Error Rate Prediction). An example by using qualitative and quantitative assessesments with these two techniques to improve typical NDI of pipe segments of a core cooling system of a nuclear power plant, through acting on human factors issues, is presented.

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Role of Human Factors in the Design of Infusion Pumps

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care ◽

10.1177/2327857917061038 ◽

2017 ◽

Vol 6 (1) ◽

pp. 181-182

Author(s):

Sunitha Narendra Babu ◽

Dan Nathan-Roberts

Keyword(s):

Human Factors ◽

Infusion Pumps

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A Mathematical Model for Competing Failure Modes in Strain Cycle Fatigue

Journal of Engineering Materials and Technology ◽

10.1115/1.2712468 ◽

2006 ◽

Vol 129 (2) ◽

pp. 293-303 ◽

Cited By ~ 8

Author(s):

Gerald T. Cashman

Keyword(s):

Failure Modes ◽

High Stress ◽

Local Strain ◽

Initiation Site ◽

Weakest Link ◽

Strain Relationship ◽

Powder Metallurgy Alloy ◽

Link Model ◽

Cyclic Plastic Strain ◽

Selection Of

Elevated temperature data for powder metallurgy alloy René 95 generated in vacuum are presented to demonstrate that the life differences observed between surface and internally initiated failures are due to an environmental effect. The transition in behavior from a mode at low stress dominated by internal initiations to a surface dominated mode at high stress is quantitatively described in terms of both a weakest-link model and a local strain relationship. A fatigue failure mechanism is provided that explains that the natural selection of initiation site is based upon the concept that the site displaying the highest local cyclic plastic strain is the location where fatigue initiates.

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Sample selection of prognostics validation test based on multi-stage Wiener process

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ◽

10.1177/1748006x18805835 ◽

2018 ◽

Vol 233 (4) ◽

pp. 605-614

Author(s):

Zhiao Zhao ◽

Yong Zhang ◽

Guanjun Liu ◽

Jing Qiu

Keyword(s):

Wiener Process ◽

Process Model ◽

Failure Modes ◽

Early Stage ◽

Sample Selection ◽

Degradation Process ◽

Time Interval ◽

Degradation Data ◽

Multi Stage ◽

Selection Of

Sample allocation and selection technology is of great significance in the test plan design of prognostics validation. Considering the existing researches, the importance of prognostics samples of different moments is not considered in the degradation process of a single failure. Normally, prognostics samples are generated under the same time interval mechanism. However, a prognostics system may have low prognostics accuracy because of the small quantity of failure degradation and measurement randomness in the early stage of a failure degradation process. Historical degradation data onto equipment failure modes are collected, and the degradation process model based on the multi-stage Wiener process is established. Based on the multi-stage Wiener process model, we choose four parameters to describe different degradation stages in a degradation process. According to four parameters, the sample selection weight of each degradation stage is calculated and the weight of each degradation stage is used to select prognostics samples. Taking a bearing wear fault of a helicopter transmission device as an example, its degradation process is established and sample selection weights are calculated. According to the sample selection weight of each degradation process, we accomplish the prognostics sample selection of the bearing wear fault. The results show that the prognostics sample selection method proposed in this article has good applicability.

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Application of Fuzzy Decision Model Selection of Product in Human Factors Design

Human Aspects of IT for the Aged Population. Healthy and Active Aging - Lecture Notes in Computer Science ◽

10.1007/978-3-030-50249-2_8 ◽

2020 ◽

pp. 101-112

Author(s):

Hsin-Hung Lin ◽

Jui-Hung Cheng

Keyword(s):

Model Selection ◽

Human Factors ◽

Decision Model ◽

Fuzzy Decision ◽

Fuzzy Decision Model ◽

Selection Of

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Defining Human Factor and Ergonomic and its related issues in Malaysia Pineapple Plantations

MATEC Web of Conferences ◽

10.1051/matecconf/201815005047 ◽

2018 ◽

Vol 150 ◽

pp. 05047 ◽

Cited By ~ 1

Author(s):

Nur Fazrina Mohamad Salleh ◽

Ezrin Hani Sukadarin

Keyword(s):

Human Factors ◽

Human Factor ◽

Risk Model ◽

Human Factors Engineering ◽

Human Beings ◽

Industrial Ergonomics ◽

Long Time ◽

Definition Of ◽

English Articles ◽

Selection Of

Human factor and ergonomic has been a standardized as synonymous for a long time and has great potential to contribute in designing all kinds of systems with people. However, some opinions draw precisely distinctions among these terms. Numerous studies have been conducted in their attempt to understand the concept of human factor and ergonomic. The meaning of each term must be clearly understood before using them in any research to understand how human beings interact with surroundings. So, this paper seeks to review the definition of human factor and ergonomic. English articles and books dated as far 1970 were compiled from Taylor and Francis Online, Google Scholar and Science Direct. The keywords used in the selection of the articles are human factors, human factors engineering, ergonomics, industrial ergonomics, reviews, definition, difference and risk factors. A risk model related to each term is also provided to have more understanding towards it. Based on the finding of the literature review of human factor and ergonomic issue in pineapple plantation were explore and are categorized accordingly.

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