Dataset of Energy Consumption and Performance Indicators of Split-Type Air Conditioners under Single and Multiple Fault Conditions in Tropical Island Climates 核心 · 已核验
doi:10.17632/2mmf3ts9dk
This dataset contains simulated operational data of split-type air-conditioning systems operating under fault-free, single-fault, and multiple-fault conditions in tropical island climates. The faults considered include vapor-compression system faults and sensor-related faults. The dataset was developed to support research on the impacts of air-conditioning faults on tertiary buildings, as well as fault detection and diagnosis (FDD) of simultaneous faults under different severity levels.
The data were generated through building energy performance simulations using OpenStudio and EnergyPlus, with automated simulation workflows implemented in Python. Key variables include climate type, outdoor air temperature, electrical energy consumption, relative energy consumption variation and coefficient of performance (COP) variation. The target variables describe multiple fault types and fault severity levels, categorized as fault-free (0), low degradation (1), medium degradation (2), and severe degradation (3).
The dataset enables the analysis and comparison of fault impacts on energy performance under both tropical coastal and tropical highland climate conditions.
Researchers may use the dataset to evaluate the impacts of faults on air-conditioning system performance, develop supervised classification models for fault detection and diagnosis (FDD), perform feature selection, apply explainable artificial intelligence (XAI) techniques, and conduct comparative evaluations of FDD methodologies.
The dataset is particularly valuable because publicly available HVAC fault datasets representative of tropical island climates remain limited.
- 落地页
- https://data.mendeley.com/datasets/2mmf3ts9dk
- 许可证
- CC-BY-4.0 (判读置信:verified_official)
- 国内可访问性
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国内直连:可达 (2026-07-11 检测)
代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - PHM 任务
fault_detectionfault_diagnosis
故障工况
| fault_type: healthy_baseline |
| fault_type: compound_fault |
| fault_type: sensor_fault |
运行工况
| condition_type: environment |
溯源(PROV,7 条)
| source_url: https://data.mendeley.com/datasets/2mmf3ts9dksource_citation: quarry_mining_pool datacite#10.17632/2mmf3ts9dkretrieved_on: 2026-07-09asserted_by: automated_harvestnote: 反向挖掘 v3(KLS-018,词表圈选+全量人工复核):level=L2 score=0.75;候选区,晋升需人工核验 |
| about_field: fault_conditionssource_citation: graphrag 抽取自论文 doi:10.17632/2mmf3ts9dk(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: healthy_baseline, compound_fault, sensor_fault;候选区,晋升需人工核验(ADR-26) |
| about_field: operating_conditionssource_citation: graphrag 抽取自论文 doi:10.17632/2mmf3ts9dk(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: environment;候选区,晋升需人工核验(ADR-26) |
| about_field: taskssource_citation: graphrag 抽取自论文 doi:10.17632/2mmf3ts9dk(model=glm-5.2, temperature=0)retrieved_on: 2026-07-10asserted_by: automated_extractionconfidence_level: grounded_nativenote: values: fault_detection, fault_diagnosis;候选区,晋升需人工核验(ADR-26) |
| about_field: source_citation: 人工核验:zfbin(委托批准 2026-07-10)retrieved_on: 2026-07-10asserted_by: human_curatorconfidence_level: human_verifiednote: 晋升核心区。晋升批次 05:KLS-018 挖掘池卡,逐卡逐断言对照自述核验(evidence/KLS-016/08) |
| about_field: china_accessibilitysource_citation: KLS-009 链接健康扫描(lychee 双通道)retrieved_on: 2026-07-11asserted_by: automated_harvestnote: 定期刷新标注,仅覆盖本字段;历史结果以最新扫描为准 |
| about_field: license_confidence,license_idsource_citation: 人工核验:zfbin(三问拍板 2026-07-11)retrieved_on: 2026-07-11asserted_by: human_curatorconfidence_level: human_verifiednote: 人工改写。license 清洗②:原值 info:eu-repo/semantics/openAccess 系 OAI 协议词非许可证;Mendeley Data 官方页明示 CC BY 4.0(2026-07-11 在线核实) |