Application of Predictive Maintenance in Hospital Heating, Ventilation and Air Conditioning Facilities

Sánchez-Barroso, Gonzalo; García-Sanz-Calcedo, Justo

doi:10.28991/esj-2019-01196

Cited by 27 publications

(10 citation statements)

References 22 publications

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“…for the vulnerable group of heatstroke may be of profound interest for future studies. Risk assessment for different types of buildings, such as residential, educational, public, and hospital buildings along with the maintenance of heating, ventilation, and AC systems [ 66 ] also can be analysed in future studies. This can provide important information regarding how these buildings can be improved to safeguard against heatstroke.…”

Section: Discussionmentioning

confidence: 99%

Heat health risk assessment analysing heatstroke patients in Fukuoka City, Japan

Toosty

Hagishima

Tanaka³

2021

PLoS ONE

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Background Climate change, as a defining issue of the current time, is causing severe heat-related illness in the context of extremely hot weather conditions. In Japan, the remarkable temperature increase in summer caused by an urban heat island and climate change has become a threat to public health in recent years. Methods This study aimed to determine the potential risk factors for heatstroke by analysing data extracted from the records of emergency transport to the hospital due to heatstroke in Fukuoka City, Japan. In this regard, a negative binomial regression model was used to account for overdispersion in the data. Age-structure analyses of heatstroke patients were also embodied to identify the sub-population of Fukuoka City with the highest susceptibility. Results The daily maximum temperature and wet-bulb globe temperature (WBGT), along with differences in both the mean temperature and time-weighted temperature from those of the consecutive past days were detected as significant risk factors for heatstroke. Results indicated that there was a positive association between the resulting risk factors and the probability of heatstroke occurrence. The elderly of Fukuoka City aged 70 years or older were found to be the most vulnerable to heatstroke. Most of the aforementioned risk factors also encountered significant and positive associations with the risk of heatstroke occurrence for the group with highest susceptibility. Conclusion These results can provide insights for health professionals and stakeholders in designing their strategies to reduce heatstroke patients and to secure the emergency transport systems in summer.

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Section: Discussionmentioning

confidence: 99%

Heat health risk assessment analysing heatstroke patients in Fukuoka City, Japan

Toosty

Hagishima

Tanaka³

2021

PLoS ONE

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“…However, a review on the literature of the recent work (articles published from 2018-2021) portrays an evidences of some criticalities in maintenance management in manufacturing industries particularly in small firms, such as too much "fire-fighting" i.e. still applying the concept of breakdown maintenance and limited preventive approaches [18,19]. The negligence in maintenance management will have significant impact on company's profitability.…”

Section: -2-negligence Of Maintenance Management In Qi Initiativesmentioning

confidence: 99%

Addressing the Issues of Maintenance Management in SMEs: Towards Sustainable and Lean Maintenance Approach

et al. 2021

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This paper outlines on the preliminary outcomes of pilot project aimed at exploring the issue related to managing of maintenance activity in the Malaysian Small and Medium Enterprises (SMEs). SMEs have been accepted as vital components of domestic industry development in many countries. However, the literature portrays that many of Malaysian SMEs particularly the companies involved in manufacturing, fabrication and machining services are struggling to manage the maintenance of their manufacturing equipment. Dependable manufacturing equipment is important factor towards organizational profitability. Managing the maintenance activity of those manufacturing equipment nowadays, is becoming more challenging due to automation and computerization. Due to such issues, SMEs companies are under stiff pressure to minimize lost time for their survival. Thus, this study seeks to explore the related issues towards further improvements. Qualitative research methodology was adopted in the study. Data were collected at eight (8) SMEs located in three (3) different areas, namely southern, central and eastern region of peninsular Malaysia. Information was gathered from semi-structured interviews with SMEs management and observations focuses on different areas of maintenance management at the respective SMEs. The main concern is to validate the critical success factors (CSFs) in managing the maintenance activity at selected SMEs. This study discovered that nine (9) CSFs are having the most significant impact towards improving the maintenance management practice for SMEs. These include: understanding the MM philosophy; management commitment and leadership; maintenance strategy; maintenance planning; maintenance training; monitoring and assessment; appropriate number of maintenance staff; integration of tools, techniques and technology, and; record of maintenance data. All those CSFs construct are integrated in a simple yet self-explanatory MM Framework to convey the conceptual idea of MM implementation program to the management and technical people within SMEs. It is believed that the MM Framework developed would serve as an indicator of company’s MM focus level. Through the identification of the CSFs constructs, the SMEs can utilize the information to improve their approach in systematic MM program. The discovered CSFs are vital for all stakeholders that directly or indirectly involve in managing the maintenance activity in SMEs. Doi: 10.28991/esj-2021-01283 Full Text: PDF

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“…Techniques of data-driven PdM include process parameter measurements, vibration analysis, oil analysis, thermal analysis, acoustic analysis, and others [3]. Moreover, interpreting those techniques often includes creating machine learning or deep learning models to estimate fault events [6], [7], remaining useful life [8], [9], and plant conditions to make PdM decisions [1].…”

Section: Background a Background Of Pdmmentioning

confidence: 99%

Survival Analysis and Predictive Maintenance Models for non-sensored Assets in Facilities Management

Moat

Coleman

2021

2021 IEEE International Conference on Big Data (Big Data)

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Maintenance is a critical component of Facilities Management (FM), and with the proliferation of big data, Internet of Things (IoT), and Industry 4.0, predictive maintenance (PdM) has emerged as a critical maintenance technique. However, modern data-driven PdM tactics are based on sensor data, but there is no obvious way to imply PdM on older buildings that lack sensors. EQUANS is a company seeking recommendations for implying PdM in the management of a historic building. This paper demonstrates the potential of survival analysis with data-driven PdM using EQUANS's non-sensored data, explicitly using the Kaplan-Meier method, parametric methods, Cox proportional hazard model, and accelerated failure time models. The boiler was chosen as the asset to focus on in this project, and the results indicated that the boiler's survival might not be related to the frequency of service but the boiler's age. The research findings propose a further step toward PdM for assets without sensors, and data collection and preventive maintenance can be improved.

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Application of Predictive Maintenance in Hospital Heating, Ventilation and Air Conditioning Facilities

Cited by 27 publications

References 22 publications

Heat health risk assessment analysing heatstroke patients in Fukuoka City, Japan

Heat health risk assessment analysing heatstroke patients in Fukuoka City, Japan

Addressing the Issues of Maintenance Management in SMEs: Towards Sustainable and Lean Maintenance Approach

Survival Analysis and Predictive Maintenance Models for non-sensored Assets in Facilities Management

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