time seriesfamily
Spectral Residual (SR and SR-CNN)
Time series anomaly detection method behind a Microsoft monitoring service, from the paper Time-Series Anomaly Detection Service at Microsoft (Ren et al., KDD 2019).
Levelfamily
Classtime series
Parametersnot in the notes
Contextnot in the notes
Released10 Jun 2019
Opennessopen source
Runs onnot in the notes
Statusactive
Identity
- Developer
- Microsoft AI
- Family
- not in the notes
- Released
- 10 Jun 2019 sourcesannouncement page
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- CNN Spectral residual saliency, optionally followed by a CNN
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- time series
- Output
- time series
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open source
- Licence
- MIT License sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- Licence is that of the microsoft/anomalydetector repository (MIT).
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperMicrosoft AIbig tech, USA
Microsoft AIbig tech, USAModelSpectral Residual (SR and SR-CNN)Microsoft AI, time series
Spectral Residual (SR and SR-CNN)Microsoft AI, time seriesUse CasesAnomaly Detection on Sensor, SCADA and Historian DataIndustrialPharma Manufacturing and GMPHealthcarePredictive Maintenance (Failure Prediction, RUL)IndustrialUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Kalbe Farma TbkProof of concept, 20 Jul 2026
PT Pertamina Hulu Rokan (PHR)In production, 17 Oct 2025
PT Kilang Pertamina InternasionalIn production, 17 Oct 2025PT Pertamina International Shipping with Pertamina Marine EngineeringPlanned, 9 Dec 2024+10 moreDeployments of these use cases; none names this model.
PT Kalbe Farma TbkProof of concept, 20 Jul 2026PT Pertamina Hulu Rokan (PHR)In production, 17 Oct 2025PT Kilang Pertamina InternasionalIn production, 17 Oct 2025PT Pertamina International Shipping with Pertamina Marine EngineeringPlanned, 9 Dec 2024+10 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- arxiv.org/abs/1906.03821 https://arxiv.org/abs/1906.03821
- github.com/microsoft/anomalydetector https://github.com/microsoft/anomalydetector
- pyod.readthedocs.io/en/latest https://pyod.readthedocs.io/en/latest/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Spectral Residual (SR and SR-CNN)", https://aurion.semai.id/models/microsoft-spectral-residual/, records of October 2026.