Health Monitoring and Diagnosis of Equipment Based on Multi-sensor Fusion

Yao, Xuemei; Li, Shaobo; Yao, Yong; Xie, Xianjun

doi:10.3991/ijoe.v14i04.8315

Cited by 7 publications

(6 citation statements)

References 21 publications

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“…This paper aspires todevelop a prototype of a digital healthy lifestyle application [26][27] for UUM computer user community. It describes the design of the application based on user requirements gathered and review from experts for improvement [25].…”

Section: Introductionmentioning

confidence: 99%

Digital Healthy Lifestyle Application for UUM Computer User

Othman

Shaari

Yusoff

2021

Int. J. Interact. Mob. Technol.

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A computer is a vital tool for UUM community in doing routine jobs and activities. Spending many hours using a computer without breaks can cause bad effect on users’ health. Inappropriate computer use can cause muscle and joint pain, overuse injuries of the shoulder, arm, wrist or hand, and eyestrain. Fortunately, this pain and misery can be avoided with only a few simple routines. Therefore, a short break from using a computer is necessary. The break could be filled with a short and simple exercise. Physical exercise can provide many benefits to individual and organization. Besides improving the productivity of the organization, physical exercise also can help staff and students to be more focused, stay alert, feel motivated, energetic, and have less stress. In response to this, this paper introduces a digital health application to create health awareness among the UUM community. The methods employed in the study are a preliminary investigation, requirement gathering and analysis, prototype development, and prototype validation. From the requirement analysis phase, 11 criteria were gathered and applied in designing the Digital Healthy Lifestyle Application prototype. Then it was validated by the content and user interface experts. The experts responded positively towards the application.

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Section: Introductionmentioning

confidence: 99%

Digital Healthy Lifestyle Application for UUM Computer User

Othman

Shaari

Yusoff

2021

Int. J. Interact. Mob. Technol.

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“…MD is a metrics that represents the similarity between sample and group, which overcomes the scale problem and correlation influence in Euclidean distance using inverse covariance matrix. 28 The greater the MD, the higher the similarity of the sample, and the better the relative quality in group. 29 For the sample x with n data, the MD can highdimensionally generalize the deviation of x and the group y nm , which has m samples of n data.…”

Section: Mahalanobis Distancementioning

confidence: 99%

Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism

Song

Shen

et al. 2022

Structural Health Monitoring

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Nowadays, acoustic and vibration signals have been widely used to detect crack and its degree on compressor blades for non-destructive evaluation and structural health monitoring. Due to complex working conditions and interference of strong noise, single signal-based methods reach unsatisfactory accuracy. To improve the reliability and accuracy of crack detection, the two-level fusion method based on Mahalanobis distance (MD) and self-attention mechanism is proposed based on multi-acoustic, vibration, and acoustic emission information. First, the MD is calculated to measure the similarity between raw samples and group, which can fuse the same type of samples in data level. Then, the processed raw and data-level fusion samples are inputted to one-dimensional convolutional neural network, and the preliminary decisions are obtained. Finally, the decision-level fusion based on self-attention mechanism and credit assignment is proposed to modify and correct the preliminary decisions. The compressor experiments are implemented to test the proposed method under single and mixed working conditions with strong noise intensity. Further, the results illustrate that the proposed method can accurately detect crack for compressor blades. By comparing with other data fusion approaches, the advantage of the proposed method is validated under complex conditions.

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“…In this situation, periodic health monitoring, or preventative care, allows people to discover and treat health problems early before they have consequences. Particularly, for risk patients and long-term applications, such a strategy exhibits more freedom, comfort, and opportunities in clinical monitoring [16][17][18][19].…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Controller of New Strategy of Biomedical Measurements

Mashade

Elgawad

Nasr³

2020

Int. J. Onl. Eng.

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Monitoring patient’s condition represents one of the crucial tasks in any biomedical center to ensure the stability of the patient state. Healthcare sector quality demands are exponentially rising. These demands are concerned with designing expert systems for medical diagnosis. Also, the use of fuzzy sets theory in the medical field is to solve some medical problems. This paper proposes a simple strategy of bio measurements and its behavior through fuzzy logic model. The proposed design is constructed using three different types of data transfer based sensors and microcontroller.The fuzzy logic model is designed and practically tested. The generated results are compared to those of the (Omron RS3 - HEM-6130-E Omron mc-246-e) device from OMRON company. Four hundred people aged between 3 and 72 years old were examined by the proposed system. All results are compared using fuzzy logic model in MATLB. Using statistical analysis, the average data measurements for each sensor in the designed device were recorded; the output results were found to be of close enough (less than 1% error) to the reference readings.The system can be used at home due to its low cost, easy to use, and high accuracy.

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Health Monitoring and Diagnosis of Equipment Based on Multi-sensor Fusion

Cited by 7 publications

References 21 publications

Digital Healthy Lifestyle Application for UUM Computer User

Digital Healthy Lifestyle Application for UUM Computer User

Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism

Fuzzy Logic Controller of New Strategy of Biomedical Measurements

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