本文基于ASHRAE 2017-2018研究生资助奖的研究结果。照明系统占商业建筑总能源使用量的11%以上，并代表了因故障而浪费的能源的类似比例（NRCan 2013）。许多建筑管理人员使用积极的预防性维护来解决照明故障，因此，他们通常会提前按计划更换灯泡。灯泡的典型寿命超过20000小时，过早维护可能会产生大量可预防的浪费。在过去的十年里，电力监控已经变得很流行，为研究人员提供了监控和操作现场照明系统的额外机会。 在现代建筑中，楼层电源监控粒度并不是一个不合理的期望。本文使用楼层建筑自动化系统（BAS）数据来描述照明系统，开发主动和被动故障检测方法，并以易于吸收的方式呈现数据。主动方法基于照明电路的系统操作和监控，而被动方法基于运行期间的演绎观察。研究发现，主动和被动故障检测可以分别在一小时内或在一个状态变化期间识别故障，并且即使只有一个功率计，也可以对多个电路进行推断。 引文:2018年冬季会议，伊利诺伊州芝加哥，技术论文

This paper is based on findings resulting from an ASHRAE 2017-2018 Graduate Student Grant-In-Aid award.Lighting systems account for over 11% of total commercialbuilding energy use and represent a similar proportion ofenergy wasted due to faults (NRCan 2013). Many buildingmanagers use aggressive preventative maintenance to addresslighting faults and, as such, will often prematurely changebulbs on a schedule. With a typical bulb life of more than 20,000hours, premature maintenance can generate significant andpreventable waste. Power submonitoring has become popularover the last decade, providing researchers with additionalopportunities to monitor and manipulate live lighting systems.Floor-level power monitoring granularity is not an unreasonableexpectation in modern buildings. This paper uses floor-levelbuilding automation system (BAS) data to characterizethe lighting system, develop active and passive fault detectionapproaches, and present the data in a manner that is easy toassimilate. The active approach is based on systemic manipulationand monitoring of the lighting circuits, while thepassive approach was based on deductive observations duringruntime. It was found that both active and passive fault detectioncould identify faults within one hour or slightly over onestate change, respectively, and that even with only one powermeter, inferences could be made for multiple circuits.