This paper presents a possible route to create ecologically clean methods in asset management, inside hospital applications.
Rapid simultaneous multi-emission indicators determination, including noise, can to be implemented in hospital areas, by different detection techniques (atomic absorption pectrometry, mass spectrometry, termography, noise analysis, ultrasonography, vibration analysis, laser, plasma, particles in lubricating oil). The choice of appropriate indicators correlated with dysfunctions occurrence is an important step. In addition, the complexity increases, when the investigation is associated with poor quality of medical air in a hospital location, as consequence of the urban pollution. The concentration of same gases peaked at rush hours within the day. In hospital rooms, detection limits and precision must to be defined at low values in way to preserve the correct services operation.
- Abstract
1. Introduction
2. A new paradigm of maintenance planning
3. Maintenance in Hospital Areas
4. New algorithms on condition – based maintenance models
5. Elements of a HMM
5.1 The three basic problems of an HMM
5.2 Implementation of HMM in predictive maintenance
5.3 Limitations and advantages of HMM
6. SMIT(H)