画像は参照用のみです。
FDD3860
MOSFET N-CH 100V 6.2A DPAK
- メーカー
- Mfr。パート #FDD3860
- パッケージ
- データシート
- 在庫中7363
100% オリジナル &新しい
出荷の準備ができている24時間
365日の保証
RFQおよびもっと割引を得る
仕様
| Supplier | onsemi |
| Package | Tape & Reel (TR),Cut Tape (CT) |
| Series | PowerTrench® |
| ProductStatus | Active |
| FETType | N-Channel |
| Technology | MOSFET (Metal Oxide) |
| DraintoSourceVoltage(Vdss) | 100 V |
| Current-ContinuousDrain(Id)@25°C | 6.2A (Ta) |
| DriveVoltage(MaxRdsOnMinRdsOn) | 10V |
| RdsOn(Max)@IdVgs | 36mOhm @ 5.9A, 10V |
| Vgs(th)(Max)@Id | 4.5V @ 250µA |
| GateCharge(Qg)(Max)@Vgs | 31 nC @ 10 V |
| Vgs(Max) | ±20V |
| InputCapacitance(Ciss)(Max)@Vds | 1740 pF @ 50 V |
| PowerDissipation(Max) | 3.1W (Ta), 69W (Tc) |
| OperatingTemperature | -55°C ~ 150°C (TJ) |
| MountingType | Surface Mount |
| SupplierDevicePackage | TO-252AA |
概要
Description
I’m not sure what FDD3860 refers to. If it’s short for an Introduction to Fault Detection and Diagnostics (FDD) course or topic, here’s a concise intro:
Introduction to FDD (fault detection and diagnostics) covers how to identify and diagnose faults in complex systems (e.g., HVAC, manufacturing, electronics) using data-driven and model-based methods. Core topics include fault taxonomy, data collection and preprocessing, feature extraction, and detection/diagnosis algorithms (rule-based, machine learning, and physics-based models). The typical workflow: collect operational data, preprocess and featureize, detect anomalies, diagnose root causes, and prescribe corrective actions. Benefits include energy savings, increased reliability, and reduced maintenance costs; challenges involve data quality, fault labeling, model interpretability, and real-time deployment. A course usually includes architecture, evaluation metrics, case studies, and hands-on labs.
Introduction to FDD (fault detection and diagnostics) covers how to identify and diagnose faults in complex systems (e.g., HVAC, manufacturing, electronics) using data-driven and model-based methods. Core topics include fault taxonomy, data collection and preprocessing, feature extraction, and detection/diagnosis algorithms (rule-based, machine learning, and physics-based models). The typical workflow: collect operational data, preprocess and featureize, detect anomalies, diagnose root causes, and prescribe corrective actions. Benefits include energy savings, increased reliability, and reduced maintenance costs; challenges involve data quality, fault labeling, model interpretability, and real-time deployment. A course usually includes architecture, evaluation metrics, case studies, and hands-on labs.
Package
There isn’t a single standard package for FDD3860; packaging varies by vendor. Common power MOSFET versions use DPAK (TO-252) or D2PAK (TO-263). Check the specific vendor’s datasheet for the exact package.
Manufacturer
The FDD3860 is a product from Fairchild Semiconductor, which is now part of ON Semiconductor. Fairchild is a US-based semiconductor company that designs and manufactures electronic components such as diodes, transistors, MOSFETs, and integrated circuits used in electronics.
出荷
出荷方法私たち
DHL、FedEx、TNT、UPS、またはあなたの選択の他の運送業者を通じてグローバルな出荷サービスを提供します。
出荷料参照(DHL/FedEx):
DHL の: 配送費は25ドル〜45ドル(0.5kg)の範囲で、推定配送時間は2〜5営業日です。
フェデックス: 配送費は25ドル〜40ドル(0.5kg)の範囲で、推定配送時間は3〜7営業日。
UPS の: 配送費は25ドル〜45ドル(0.5kg)の範囲で、推定配送時間は3〜7営業日。
TNT社: 配送費は25ドル〜65ドル(0.5kg)の範囲で、推定配送時間は3〜7営業日。
EMS: 配送料金は30〜50ドル(0.5kg)の範囲で、推定配送時間は7〜15営業日です。
登録航空郵便: 配送費は2〜4ドル(0.1kg)で、推定配送時間は5〜20営業日です。
支払い
Payment Methods
支払い期間は100%前払いです。
現在、下記の支払い方法のみを受け入れています。:
1. ペイパル
2. クレジット・デビットカード
3. ワイヤー 転送
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