Results of a GN&C performance assessment reveal how data from relative position sensors can be employed in a Kalman filter framework to significantly improve alignment estimation performance.
Moreover, this model for performance assessment only requires data to be available in normal conditions and any one of all possible fault conditions, without the necessity for the full life cycle of condition monitoring data.
Two data segments were selected as "benchmark data", performance assessment and analysis was carried on the data from other time periods.
In cases like ours, where rigorous performance assessment is complicated because data collection is tied to the intervention and real baseline data is lacking, a frequently used solution is to report data from a first observation period as baseline and to use changes from this baseline as estimates of effects [ 6].
The book is divided into three parts: Volume 1 – Sensing hardware and data collection methods for performance assessment, Volume 2/Part I – Sensor data interrogation and decision making, and Volume 2/Part II – Case studies in assessing and monitoring specific structures.
The computational results are reported and analyzed for a performance assessment conducted with a data envelopment analysis approach.
The proposed method for performance assessment only needs monitoring data under normal conditions and any one of all possible fault conditions.
For either performance assessment or fault diagnosis, data collected from the unit during normal and various fault states are categorized into different populations, where each population contains data representing a particular state.
This paper is the first of two papers that describe the modeling, design, and performance assessment based on monitored data of a building-integrated photovoltaic-thermal (BIPV/T) system thermally coupled with a ventilated concrete slab (VCS) in a prefabricated, two-storey detached, low energy solar house.
This paper is the second of two papers that describe the modeling and design of a building-integrated photovoltaic thermal (BIPV/T) system thermally coupled with a ventilated concrete slab (VCS) adopted in a prefabricated, two-storey detached, low energy solar house and their performance assessment based on monitored data.
